ex48.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import statsmodels.api as sm\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "from IPython.display import Markdown as md\n",
    "from IPython.core.display import display, HTML\n",
    "np.random.seed(42)\n",
    "\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "beauty_df = pd.read_csv(\"./ARM_Data_extra/examples/beauty/ProfEvaltnsBeautyPublic.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 463 entries, 0 to 462\n",
      "Data columns (total 64 columns):\n",
      " #   Column             Non-Null Count  Dtype  \n",
      "---  ------             --------------  -----  \n",
      " 0   tenured            463 non-null    int64  \n",
      " 1   profnumber         463 non-null    int64  \n",
      " 2   minority           463 non-null    int64  \n",
      " 3   age                463 non-null    int64  \n",
      " 4   beautyf2upper      463 non-null    int64  \n",
      " 5   beautyflowerdiv    463 non-null    int64  \n",
      " 6   beautyfupperdiv    463 non-null    int64  \n",
      " 7   beautym2upper      463 non-null    int64  \n",
      " 8   beautymlowerdiv    463 non-null    int64  \n",
      " 9   beautymupperdiv    463 non-null    int64  \n",
      " 10  btystdave          463 non-null    float64\n",
      " 11  btystdf2u          463 non-null    float64\n",
      " 12  btystdfl           463 non-null    float64\n",
      " 13  btystdfu           463 non-null    float64\n",
      " 14  btystdm2u          463 non-null    float64\n",
      " 15  btystdml           463 non-null    float64\n",
      " 16  btystdmu           463 non-null    float64\n",
      " 17  class1             463 non-null    int64  \n",
      " 18  class2             463 non-null    int64  \n",
      " 19  class3             463 non-null    int64  \n",
      " 20  class4             463 non-null    int64  \n",
      " 21  class5             463 non-null    int64  \n",
      " 22  class6             463 non-null    int64  \n",
      " 23  class7             463 non-null    int64  \n",
      " 24  class8             463 non-null    int64  \n",
      " 25  class9             463 non-null    int64  \n",
      " 26  class10            463 non-null    int64  \n",
      " 27  class11            463 non-null    int64  \n",
      " 28  class12            463 non-null    int64  \n",
      " 29  class13            463 non-null    int64  \n",
      " 30  class14            463 non-null    int64  \n",
      " 31  class15            463 non-null    int64  \n",
      " 32  class16            463 non-null    int64  \n",
      " 33  class17            463 non-null    int64  \n",
      " 34  class18            463 non-null    int64  \n",
      " 35  class19            463 non-null    int64  \n",
      " 36  class20            463 non-null    int64  \n",
      " 37  class21            463 non-null    int64  \n",
      " 38  class22            463 non-null    int64  \n",
      " 39  class23            463 non-null    int64  \n",
      " 40  class24            463 non-null    int64  \n",
      " 41  class25            463 non-null    int64  \n",
      " 42  class26            463 non-null    int64  \n",
      " 43  class27            463 non-null    int64  \n",
      " 44  class28            463 non-null    int64  \n",
      " 45  class29            463 non-null    int64  \n",
      " 46  class30            463 non-null    int64  \n",
      " 47  courseevaluation   463 non-null    float64\n",
      " 48  didevaluation      463 non-null    int64  \n",
      " 49  female             463 non-null    int64  \n",
      " 50  formal             463 non-null    int64  \n",
      " 51  fulldept           463 non-null    int64  \n",
      " 52  lower              463 non-null    int64  \n",
      " 53  multipleclass      463 non-null    int64  \n",
      " 54  nonenglish         463 non-null    int64  \n",
      " 55  onecredit          463 non-null    int64  \n",
      " 56  percentevaluating  463 non-null    float64\n",
      " 57  profevaluation     463 non-null    float64\n",
      " 58  students           463 non-null    int64  \n",
      " 59  tenuretrack        463 non-null    int64  \n",
      " 60  blkandwhite        463 non-null    int64  \n",
      " 61  btystdvariance     463 non-null    float64\n",
      " 62  btystdavepos       463 non-null    float64\n",
      " 63  btystdaveneg       463 non-null    float64\n",
      "dtypes: float64(13), int64(51)\n",
      "memory usage: 231.6 KB\n"
     ]
    }
   ],
   "source": [
    "beauty_df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>count</th>\n",
       "      <th>mean</th>\n",
       "      <th>std</th>\n",
       "      <th>min</th>\n",
       "      <th>25%</th>\n",
       "      <th>50%</th>\n",
       "      <th>75%</th>\n",
       "      <th>max</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>tenured</th>\n",
       "      <td>463.0</td>\n",
       "      <td>0.546436</td>\n",
       "      <td>0.498377</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>profnumber</th>\n",
       "      <td>463.0</td>\n",
       "      <td>45.434125</td>\n",
       "      <td>27.508902</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>20.000000</td>\n",
       "      <td>44.000000</td>\n",
       "      <td>70.500000</td>\n",
       "      <td>94.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>minority</th>\n",
       "      <td>463.0</td>\n",
       "      <td>0.138229</td>\n",
       "      <td>0.345513</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>age</th>\n",
       "      <td>463.0</td>\n",
       "      <td>48.365011</td>\n",
       "      <td>9.802742</td>\n",
       "      <td>29.000000</td>\n",
       "      <td>42.000000</td>\n",
       "      <td>48.000000</td>\n",
       "      <td>57.000000</td>\n",
       "      <td>73.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>beautyf2upper</th>\n",
       "      <td>463.0</td>\n",
       "      <td>5.213823</td>\n",
       "      <td>2.018224</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>10.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>beautyflowerdiv</th>\n",
       "      <td>463.0</td>\n",
       "      <td>3.963283</td>\n",
       "      <td>1.873936</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>8.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>beautyfupperdiv</th>\n",
       "      <td>463.0</td>\n",
       "      <td>5.019438</td>\n",
       "      <td>1.934437</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>7.000000</td>\n",
       "      <td>9.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>beautym2upper</th>\n",
       "      <td>463.0</td>\n",
       "      <td>4.751620</td>\n",
       "      <td>1.575266</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>9.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>beautymlowerdiv</th>\n",
       "      <td>463.0</td>\n",
       "      <td>3.412527</td>\n",
       "      <td>1.637102</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>7.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>beautymupperdiv</th>\n",
       "      <td>463.0</td>\n",
       "      <td>4.146868</td>\n",
       "      <td>2.110586</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>9.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>btystdave</th>\n",
       "      <td>463.0</td>\n",
       "      <td>-0.088349</td>\n",
       "      <td>0.788648</td>\n",
       "      <td>-1.538843</td>\n",
       "      <td>-0.744618</td>\n",
       "      <td>-0.156363</td>\n",
       "      <td>0.457253</td>\n",
       "      <td>1.881674</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>btystdf2u</th>\n",
       "      <td>463.0</td>\n",
       "      <td>-0.085794</td>\n",
       "      <td>0.963050</td>\n",
       "      <td>-2.096532</td>\n",
       "      <td>-0.665002</td>\n",
       "      <td>-0.187825</td>\n",
       "      <td>0.289352</td>\n",
       "      <td>2.198059</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>btystdfl</th>\n",
       "      <td>463.0</td>\n",
       "      <td>-0.093022</td>\n",
       "      <td>0.996013</td>\n",
       "      <td>-1.668032</td>\n",
       "      <td>-1.136523</td>\n",
       "      <td>-0.073507</td>\n",
       "      <td>0.458002</td>\n",
       "      <td>2.052527</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>btystdfu</th>\n",
       "      <td>463.0</td>\n",
       "      <td>-0.080182</td>\n",
       "      <td>0.940815</td>\n",
       "      <td>-2.029827</td>\n",
       "      <td>-0.577006</td>\n",
       "      <td>-0.092733</td>\n",
       "      <td>0.875814</td>\n",
       "      <td>1.844361</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>btystdm2u</th>\n",
       "      <td>463.0</td>\n",
       "      <td>-0.072980</td>\n",
       "      <td>0.952311</td>\n",
       "      <td>-2.340983</td>\n",
       "      <td>-0.527364</td>\n",
       "      <td>0.077175</td>\n",
       "      <td>0.681715</td>\n",
       "      <td>2.495334</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>btystdml</th>\n",
       "      <td>463.0</td>\n",
       "      <td>-0.070146</td>\n",
       "      <td>0.961867</td>\n",
       "      <td>-1.487607</td>\n",
       "      <td>-0.900065</td>\n",
       "      <td>-0.312523</td>\n",
       "      <td>0.862562</td>\n",
       "      <td>2.037647</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>btystdmu</th>\n",
       "      <td>463.0</td>\n",
       "      <td>-0.127971</td>\n",
       "      <td>0.969250</td>\n",
       "      <td>-1.573116</td>\n",
       "      <td>-0.654651</td>\n",
       "      <td>-0.195418</td>\n",
       "      <td>0.263814</td>\n",
       "      <td>2.100744</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>class1</th>\n",
       "      <td>463.0</td>\n",
       "      <td>0.010799</td>\n",
       "      <td>0.103468</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>class2</th>\n",
       "      <td>463.0</td>\n",
       "      <td>0.004320</td>\n",
       "      <td>0.065653</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>class3</th>\n",
       "      <td>463.0</td>\n",
       "      <td>0.017279</td>\n",
       "      <td>0.130449</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>class4</th>\n",
       "      <td>463.0</td>\n",
       "      <td>0.041037</td>\n",
       "      <td>0.198590</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>class5</th>\n",
       "      <td>463.0</td>\n",
       "      <td>0.008639</td>\n",
       "      <td>0.092646</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>class6</th>\n",
       "      <td>463.0</td>\n",
       "      <td>0.012959</td>\n",
       "      <td>0.113220</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>class7</th>\n",
       "      <td>463.0</td>\n",
       "      <td>0.008639</td>\n",
       "      <td>0.092646</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>class8</th>\n",
       "      <td>463.0</td>\n",
       "      <td>0.004320</td>\n",
       "      <td>0.065653</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>class9</th>\n",
       "      <td>463.0</td>\n",
       "      <td>0.017279</td>\n",
       "      <td>0.130449</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>class10</th>\n",
       "      <td>463.0</td>\n",
       "      <td>0.010799</td>\n",
       "      <td>0.103468</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>class11</th>\n",
       "      <td>463.0</td>\n",
       "      <td>0.004320</td>\n",
       "      <td>0.065653</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>class12</th>\n",
       "      <td>463.0</td>\n",
       "      <td>0.006479</td>\n",
       "      <td>0.080321</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>class13</th>\n",
       "      <td>463.0</td>\n",
       "      <td>0.006479</td>\n",
       "      <td>0.080321</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>class14</th>\n",
       "      <td>463.0</td>\n",
       "      <td>0.006479</td>\n",
       "      <td>0.080321</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>class15</th>\n",
       "      <td>463.0</td>\n",
       "      <td>0.004320</td>\n",
       "      <td>0.065653</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>class16</th>\n",
       "      <td>463.0</td>\n",
       "      <td>0.008639</td>\n",
       "      <td>0.092646</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>class17</th>\n",
       "      <td>463.0</td>\n",
       "      <td>0.015119</td>\n",
       "      <td>0.122157</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>class18</th>\n",
       "      <td>463.0</td>\n",
       "      <td>0.008639</td>\n",
       "      <td>0.092646</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>class19</th>\n",
       "      <td>463.0</td>\n",
       "      <td>0.012959</td>\n",
       "      <td>0.113220</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>class20</th>\n",
       "      <td>463.0</td>\n",
       "      <td>0.010799</td>\n",
       "      <td>0.103468</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>class21</th>\n",
       "      <td>463.0</td>\n",
       "      <td>0.030238</td>\n",
       "      <td>0.171426</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>class22</th>\n",
       "      <td>463.0</td>\n",
       "      <td>0.023758</td>\n",
       "      <td>0.152459</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>class23</th>\n",
       "      <td>463.0</td>\n",
       "      <td>0.010799</td>\n",
       "      <td>0.103468</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>class24</th>\n",
       "      <td>463.0</td>\n",
       "      <td>0.006479</td>\n",
       "      <td>0.080321</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>class25</th>\n",
       "      <td>463.0</td>\n",
       "      <td>0.006479</td>\n",
       "      <td>0.080321</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>class26</th>\n",
       "      <td>463.0</td>\n",
       "      <td>0.006479</td>\n",
       "      <td>0.080321</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>class27</th>\n",
       "      <td>463.0</td>\n",
       "      <td>0.004320</td>\n",
       "      <td>0.065653</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>class28</th>\n",
       "      <td>463.0</td>\n",
       "      <td>0.008639</td>\n",
       "      <td>0.092646</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>class29</th>\n",
       "      <td>463.0</td>\n",
       "      <td>0.004320</td>\n",
       "      <td>0.065653</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>class30</th>\n",
       "      <td>463.0</td>\n",
       "      <td>0.017279</td>\n",
       "      <td>0.130449</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>courseevaluation</th>\n",
       "      <td>463.0</td>\n",
       "      <td>3.998272</td>\n",
       "      <td>0.554866</td>\n",
       "      <td>2.100000</td>\n",
       "      <td>3.600000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>4.400000</td>\n",
       "      <td>5.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>didevaluation</th>\n",
       "      <td>463.0</td>\n",
       "      <td>36.624190</td>\n",
       "      <td>45.018481</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>15.000000</td>\n",
       "      <td>23.000000</td>\n",
       "      <td>40.000000</td>\n",
       "      <td>380.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>female</th>\n",
       "      <td>463.0</td>\n",
       "      <td>0.421166</td>\n",
       "      <td>0.494280</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>formal</th>\n",
       "      <td>463.0</td>\n",
       "      <td>0.166307</td>\n",
       "      <td>0.372758</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>fulldept</th>\n",
       "      <td>463.0</td>\n",
       "      <td>0.894168</td>\n",
       "      <td>0.307955</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>lower</th>\n",
       "      <td>463.0</td>\n",
       "      <td>0.339093</td>\n",
       "      <td>0.473913</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>multipleclass</th>\n",
       "      <td>463.0</td>\n",
       "      <td>0.339093</td>\n",
       "      <td>0.473913</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>nonenglish</th>\n",
       "      <td>463.0</td>\n",
       "      <td>0.060475</td>\n",
       "      <td>0.238623</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>onecredit</th>\n",
       "      <td>463.0</td>\n",
       "      <td>0.058315</td>\n",
       "      <td>0.234592</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>percentevaluating</th>\n",
       "      <td>463.0</td>\n",
       "      <td>74.427788</td>\n",
       "      <td>16.756311</td>\n",
       "      <td>10.416670</td>\n",
       "      <td>62.696165</td>\n",
       "      <td>76.923080</td>\n",
       "      <td>87.249170</td>\n",
       "      <td>100.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>profevaluation</th>\n",
       "      <td>463.0</td>\n",
       "      <td>4.174730</td>\n",
       "      <td>0.543865</td>\n",
       "      <td>2.300000</td>\n",
       "      <td>3.800000</td>\n",
       "      <td>4.300000</td>\n",
       "      <td>4.600000</td>\n",
       "      <td>5.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>students</th>\n",
       "      <td>463.0</td>\n",
       "      <td>55.177106</td>\n",
       "      <td>75.072800</td>\n",
       "      <td>8.000000</td>\n",
       "      <td>19.000000</td>\n",
       "      <td>29.000000</td>\n",
       "      <td>60.000000</td>\n",
       "      <td>581.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>tenuretrack</th>\n",
       "      <td>463.0</td>\n",
       "      <td>0.779698</td>\n",
       "      <td>0.414899</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>blkandwhite</th>\n",
       "      <td>463.0</td>\n",
       "      <td>0.168467</td>\n",
       "      <td>0.374685</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>btystdvariance</th>\n",
       "      <td>463.0</td>\n",
       "      <td>1.842626</td>\n",
       "      <td>1.261574</td>\n",
       "      <td>0.085029</td>\n",
       "      <td>0.828371</td>\n",
       "      <td>1.565791</td>\n",
       "      <td>2.682287</td>\n",
       "      <td>5.791667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>btystdavepos</th>\n",
       "      <td>463.0</td>\n",
       "      <td>0.282413</td>\n",
       "      <td>0.480691</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.457254</td>\n",
       "      <td>1.881670</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>btystdaveneg</th>\n",
       "      <td>463.0</td>\n",
       "      <td>-0.370763</td>\n",
       "      <td>0.425478</td>\n",
       "      <td>-1.538840</td>\n",
       "      <td>-0.744618</td>\n",
       "      <td>-0.156363</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "with pd.option_context(\"display.max_rows\", 70, \"display.max_columns\", 10):\n",
    "    display(HTML(beauty_df.describe().T.to_html()))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We clearly have too many columns to even bother with a pairplot and further analysis. Let's try our intuition and take some we consider most meaningful."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [],
   "source": [
    "beauty_df_mdl1 = beauty_df[[\n",
    "    'courseevaluation',\n",
    "    'tenured',\n",
    "    'tenuretrack',\n",
    "    'minority',\n",
    "    'age',\n",
    "    'didevaluation',\n",
    "    'female',\n",
    "    'formal',\n",
    "    'fulldept',\n",
    "    'nonenglish',\n",
    "    'students',\n",
    "    'blkandwhite'\n",
    "]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.PairGrid at 0x189ef6f50>"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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3Hx5Hdd+L/31mZme1WjlIliUnQeJnjImT2OAVhB9tQqAhyRdyE2rH0Fg4OLcGm4Sk3JbAvSlP8/2S9gtxuTSktYWdBmNMWoidNC305pKSOEkBByQSfFMX4xhMJH5YQpZsabXa2Zk594/Vjnd2Zq2Vdlazu36/nofHaHZmztnVZ86ez8zROURERERERERERERERDVIC7sCNDO2LTGcNGCYFnRNRWtcBwDPNkURIdd0en7vJax6V1NdiIJkGCaGkgZMW0JTBNriOnSdTT/VlrDimNcPEVH1sG2JkVQaKcOGbUuoioCmCCiKwr47VT32KYiIjmObSLUuzBjm9UP1IpffTRo2zKn8LqYraIlFmdtR1WNbTNWKUVhDbFti/+ExrNvei4GRFDpaYti6pgtRTcGa7zzn2rZ44byq/nIs9l7CqHc11YUoSIZhYv9QEht29Dmxvbk7gcVtcXZCqGaEFce8foiIqodtSxwaTuLwsUnctnOv0y7fs2IpHnrmVdz60cXsu1PVYp+CiOg4tolU68KMYV4/VC9y+d3weBq3PvaiE88bVy7FwneYOKM1ztyOqhbbYqpmXN6lhgwnDWdgAgAMjKSwbnsvXhue8GwbThphVnVaxd5LGPWuproQBWkoaTidDyAb2xt29GGIsU01JKw45vVDRFQ9hpMGXhuecAZ8ANl2+fZde7Ei0cm+O1U19imIiI5jm0i1LswY5vVD9SKX3+UGfADZeL5t5168NjzB3I6qGttiqmYcdlRDDNNyGpKcgZEUGnXVs80wrbms2owVey9h1Lua6kIUJNOWvrFt2jKkGhHNXFhxzOuHqHadcccTszru0N1XBVwTCophWmjUVd92uTkWYd+dqhr7FEREx7FNpFoXZgzz+qF6caL8rlFXmdtRVWNbTNWMM33UEF1T0dESc23raIlhwrA823TNPRCk2hR7L2HUu5rqQhQkTRG+sa1xejyqIWHFMa8fIqLqoWsqJgzLt10eTWXYd6eqxj4FEdFxbBOp1oUZw7x+qF6cKL+bMCzmdlTV2BZTNeOgjxrSGtexdU2X06B0tMSwdU0XTm9t9GxrjethVnVaxd5LGPWuproQBaktrmNzd8IV25u7E2hjbFMNCSuOef0QEVWP1riO01sbsXHlUle7fM+KpdjV18++O1U19imIiI5jm0i1LswY5vVD9SKX3923apkrnjeuXIrTWxuZ21FVY1tM1UxIWbtTznR1dcne3t6wqzGnbFtiOGnAMLMjHnNfgIXblBoYVeb3XsKqd5l1KavSJ2Mc09wxDBNDSQOmLaEpAm1xHbruWdmLMUxVLaw4LrFcoiDNOo7ZFh832+VdysGlYRwV61PYtsRIKo2UYcO2JVRFQFMEFEWpmfyHagb7FFTrmN9RVeN9Cqp1M/heDzy/Y5+C5ljF87tJw4ZlSyiKQExX0BKLMrejoLEtplpXcgwzCmuMogi0zYt6tvttq3bF3ksYqqkuREHSdQ2nssNBNS6sOOb1Q0RUPRRFoDXeAMTDrgnRzLFPQUR0HNtEqnVhxjCvH6oXzO+olrEtpmrF5V2IiIiIiIiIiIiIiIiIiIiIahAHfRARERERERERERERERERERHVoDkf9CGEWCyE+HXef8eEEH8ihJgvhPixEOLA1L8tc103IiIiIiIiIiIiIiIiIiIiolox54sOSSn3AzgPAIQQKoDXAfwAwB0AnpJS3i2EuGPq59vnun71wrYlhpMGDNOCrqlojesA4NmmKGJOyi6nnKDPR3QyMQwTQ0kDpi2hKQJtcR0615ujGhNWHPP6ISIK33S5QOHrLbEIRlKZUPIgomLYpyAiOo5tItW6MGOY1w+dTPxyvWPpDFKGBUtKNERULIhHZ5zb8XkTlYttMVWrsKPwCgAHpZSvCSE+BeCyqe0PAdgNDvqYFduW2H94DOu292JgJIWOlhi2rulCVFOw5jvPubYtXjgv0C+0YmXPtpygz0d0MjEME/uHktiwo8+5fjZ3J7C4Lc5OCNWMsOKY1w8RUfimywX8Xu/pTuD+p17Gk/sG5zQPIiqGfQoiouPYJlKtCzOGef3QyaQw17tySTu+8vFzMTSWxm079846t+PzJioX22KqZnO+vEuB6wD8w9T/L5RSvjn1/28BWBhOlWrfcNJwvrQAYGAkhXXbe/Ha8IRn23DSmJOyZ1tO0OcjOpkMJQ2n8wFkr58NO/owxOuHakhYcczrh4gofNPlAn6vr9/RhxWJTtf+c5EHERXDPgUR0XFsE6nWhRnDvH7oZFKY661IdKL/SMoZ8AHMLrfj8yYqF9tiqmahDfoQQugA/guA7xW+JqWUAGSR424UQvQKIXqHhoYqXMvaZJiW0+DkDIyk0Kirnm2Gac1J2bMtJ+jzVQvGMc0F05a+149p+zavM8IYprkSVhxXslyioLAtpnpwojieLhco9npzLOL6eS7yIDq5sU9BtY59CporvE9BtS7MGGafgmpBUG1xYa7XHIugUVfLflZUr8+bKDhsi6mWhTnTxycAvCClPDz182EhxLsAYOrfQb+DpJRbpJRdUsqutra2OapqbdE1FR0tMde2jpYYJgzLs03X3DdAK1X2bMsJ+nzVgnFMc0FThO/1owUwVR1jmOZKWHFcyXKJgsK2mOrBieJ4ulyg2OujqYzr57nIg+jkxj4F1Tr2KWiu8D4F1bowY5h9CqoFQbXFhbneaCqDCcMq+1lRvT5vouCwLaZaFuagjz/C8aVdAOCfAXxu6v8/B+CHc16jOtEa17F1TZfT8OTWJTu9tdGzrTWuz0nZsy0n6PMRnUza4jo2dydc18/m7gTaeP1QDQkrjnn9ENFcOeOOJ2b138lgulzA7/We7gR29fW79p+LPIioGPYpiIiOY5tItS7MGOb1QyeTwlxvV18/OufHsHHl0rJyOz5vonKxLaZqJrIrqcxxoULEAfwOwFlSyqNT21oBPAbgNACvAVglpTxyovN0dXXJ3t7eSle3Jtm2xHDSgGFa0DXV+dIq3KZUYPSZX9nllBP0+SqgrMowjqmSDMPEUNKAaUtoikBbXIeua4W7MYapqoUVxyWWSxSkWccx2+LjwhgQcejuq2Z97GzrW06ZFRR4WzxdLlD4ekssgpFUJpQ8iOoG+xRU65jfUVXjfQqqdTP4Xg88v2OfguZYqG2xX653LJ1ByrBgSaAhomBBPDrj3K4GnjdRsNgWU60rOYZDiUIpZRJAa8G2YQBXhFGfeqQoAm3zop7tftvmquxqOR/RyUTXNZzKDgfVuLDimNcPEVH4pssF/F4PKw8iKoZ9CiKi49gmUq0LM4Z5/dDJxC/Xm69FgXjw5yWaCbbFVK3CXN6FiIiIiIiIiIiIiIiIiIiIiGaJgz6IiIiIiIiIiIiIiIiIiIiIahAHfRARERERERERERERERERERHVIA76ICIiIiIiIiIiIiIiIiIiIqpBHPRBREREREREREREREREREREVIM46IOIiIiIiIiIiIiIiIiIiIioBnHQBxEREREREREREREREREREVEN4qAPIiIiIiIiIiIiIiIiIiIiohrEQR9ERERERERERERERERERERENYiDPoiIiIiIiIiIiIiIiIiIiIhqEAd9EBEREREREREREREREREREdUgDvogIiIiIiIiIiIiIiIiIiIiqkFa2BWod7YtMZw0YJgWdE1Fa1yHooiwq+UwTRuD42lkLBsRVUF7UxSappRVb79jAcz6fJmMhcHxNExbQlME2puiEEJ46q0ooqQyqv13QhSkyUkTwynDuX5aYzoaGtj0U20JK455/RARhS8/X9EUgYgqoAiBtGk77XNEFTBtOLmMH+YAFCb2KageMI6JiLLCbA/ZFlM9yGQsjEwYMGwJy5aIqAoEJGwJtMV1HE1bMEwLQgioAlAUxcnfmNdRNWBbTNWKUVhBti2x//AY1m3vxcBICh0tMWxd04XFC+dVxReRadp46fAY1u/oc+rX053A4vYm/Pbt5KzqXew9RzUFa77z3IzPl8lYeGlwHBvy6ri5O4FTYho+u/WXrno36uq0ZVT774QoSJOTJg4MJz3Xz6LWODshVDPCimNeP0RE4fPLVx68oQtpU7q2bVq9HE+8+Do+eV4Hzl04zzPwgzkAhYl9CqoHjGMioqww20O2xVQPMhkLh0Ym8PZYGrft3OvE8t9cex62/PwgbrniHHzrqZfx5L5BdLTEcM+KpXjomVdx60cXY1FbEw4MjTOvo1CxLaZqxuVdKmg4aThfQAAwMJLCuu29GE4aIdcsa3A87dwsBbL1W7+jD4Pj6VnXu9h7fm14YlbnGxxPO41n7tgNO/pgmNJT71LKqPbfCVGQhlOG7/UznGK8U+0IK455/RARhc8vXxkYmfRsu/mRF7Cy6zQnlynEHIDCxD4F1QPGMRFRVpjtIdtiqgeD42kMHEk5Az6AbCz/yaO/xopEJzbs6MOKRKez/fZde7Ei0Yl123vLem5FFBS2xVTNOOijggzTci78nIGRFAzTCqlGbhnL9q2factZ17vYe27U1Vmdr1hdCgdullpGtf9OiIJU7PoxbRlSjYhmLqw45vVDRBQ+v3ylUVd922dVEdl22rI952EOQGFin4LqAeOYiCgrzPaQbTHVA9OWRXO65ljE+ddvu1nkeRbzOppLbIupmnGumQrSNRUdLTFXA9DREoOuqZ59g16LzO98ti2d9bAjqoKIqvjWT1MErlzSjhWJTjTHIhhNZbCrr9+33qW+5wnD/cXb0RJDTFcxNJY+4XvWFOF7vsL2s1gZhXWeye8kTFwTjIJQ7PrR5mi6O8YxBSGsOA77+iEiIvjmKxOG5d8+qwquXNIOdWqd5/y8olZyAKpP7FNQPWAcExFlhdkesi2meqApomhON5rKOP+e39mM9Zedjda4jlNiEVy5pB1akedZzOtoLrEtpmrGmT4qqDWuY+uaLnS0xADAWWOsNa679sutMX3Npqdx6T0/xTWbnsb+w2OwZzkyzPd8b43h0JEkVj3wLD68cTdWPfAsTNtGT3fCVb+e7gTa4jq+dMU5uOvxfbh2yx7c9fg+fOmKc9CSN8Jypu/59NZG17btn78Qh4+lp33PbXEdmwvquLk7gXhU8dS7sAy/z7rU30mYcmuCXbtlDz68cTeu3bIHB4aTmJw0w64a1ZjWmP/10xqrfLwzjikoYcVxmNcPERFltTdFPflKR0uDZ9um1cvxyLOv4pYrzsGP/+NNT15RCzkA1S/2KageMI6JiLLCbA/ZFlM9aIvr6Jgfw8aVS12x/DfXnoddff3o6U7ghUPD+LOPLcZdj+/Dyp5nsXbb8/jSFeegjXkdVQG2xVTNhJS1O+VMV1eX7O3tDbsaJ1TKDB5DY9nBD4Ujw35w86VomxedcZnFznfXp96Ptdued2374RcuQdqUMC0bmqqgvSmKkVSmrPr4vWcArm0SEn+46ZlpyxgaS+OrP9jrmXXk65/+AEzbXW9FESXNlhL0rCoAyjq4MI5fH5nAtVv2eD6bR2+8NL6sfwAAIABJREFUCKe2NJZTFJ2ESpxtI9AYBhjHFKww4vj1kQkcHDyGs9vf4ZSb+5kxTBU06ziuhX7xXDnjjifmvMxDd18162NnW99yyqygwPsUpmnj8NgkDMuGqihIZ0xMGBbmx6PIWDYsW2Lrz1/BY30D6GiJ4c6rl+Cux/d58ooK5ABUv9inoFpXkfyOcUxzLPA4JgrCDNvDQPM7tsUUgsDb4qGxNL7989+i++IzIISANRXLtpRImxLviGk4ljJxw4PP+T47ao3rzOtoptgWU60rOYY5z36Aii2pkrFsmLaEsGznL87y97NtG21NUdx59RJnYEPP7oOwbRtvjKac5Vjam6LQNO/kLKZpu5ZtUQV815Rq1FXPtmTaQkzXIKVERFWgKKLsNa/93nPhF68ssu6VZdt4fWTCaSxVReDJfYN4ct+ga9+/+KQNIQRqd8hScVwTjOoB45hqnWlLnN0+z7Xt7PZ5jGEiojmmaQqEAN46OonT5jeiUdegayqEAI6mDPx///KfWNTehB/f+iGoikBEVXDJWa1O7pLL0WzbhpXXhFuWjbeOGchYNmKRbJ6UsWzomoqWWATH0hmkDAuWlGiIqFgQzw4gqeQNxvx8UggBXRUwLAkppVOvkVQGhmkhoinQVYFk2l1H3vCsPqYt8c5TYq5t7zwlxj4FzUomY2FwPO3cM2lviiISqfyU5oxjClJYS8FyCVoKgmlLvHU0jbPasz9LAG8dTeP0BZVvD3mfguqBYVp47tAoPv6BtNO3yNgSUU3AlkDKsBDVFLQ1RTEwknKWeWmORWCY1qxnx8+xbYljkwaSaQumnX0m1qgrSKaL51hA5fLA/BwwoipQFSCVyf5xQ0QRaIyqMCyJjGlzkEuVYFtM1Yw924DkllRZt70XAyMpdLTE8A/rPoijKRPrd/Q523q6EzglpuGPtv7S2bZt7QX4H//Pubj1sRedbfetWoaxtIkbHnzedey5C+e5Bn6Ypo2XDo+5ynigO4Erl7S7Bkp0tMQwYbgHbXS0xCABZ1aP/Omw/NakivgMOCnkV5+e7gQadRVrvvPc8Tpe763jlUva8fa44TnW772YtsTqb+85YRlb13Rh8cJ5ri9Bv9+T335h4ppgFJTcEisb8q6pzd0JLGqNV/zGBuOYghJWHC+Iq3hlOO0p96zWmc/ARUREs2fbEhOGhUZdxRujKVfOtHHlUvzNdctwLGVi7bbjedOm1csRUQVM08aBoXHc9+P9+NwlZ+L2XXtdbfq3nnoZQ2MGvvLxxbht515XbmHZNr7w3V8dzxmu70I0okybb5TzPvPzlCuXtOOLly/CzY+84KrX/U+9jCf3Dfq+Xm15DWW1xlW8Omzi81v2uOLv3c1ce5xmJpOx8NLguKd/em57U8UHfjCOKShh5Xdh3h+h+nJKTMV7T23GdQXt4SmxyreHvE9B9SCmq/j6p98H05Y49HYSt+3ci7amqCcn27hyKX7wwuv41PmnuvK4/JxopjmQbUu8PjqBkYmMK4/atHo5djz7Gp55ZRibVi/H3/7kwPHzVzAPnC4HvHJJO265fBE2MOerKmyLqZpN/xSfSjKcNJzGGcj+RXvalM4Ahty29Tv6kDala1v/keM3L3Pbbn3sRfQfSXmOHRxPu8odHE97yrhpRx/u+MR7XWtK3bdqGTrnx1zberoT+Msn9rmOXbc9O1VR4ZpqG1cuLelhrV991u/ow2vDE+46Puyt41evWuJ77FevWjJtvf3KWLe9F8NJY9rfk99+YeKaYBSU4ZThdD6AbLxv2NGH4VTl451xTEEJK45HU7ZvuaMpu6LlEtWTM+54Ytb/EeUMJw30H0nhSDLjyZlu27kXilCcm2C57Tc/8gLG09m/hl+3vRcrEp3OjcLcPht29GFFohPrLzvbubmYe239jj4cSWbcOcPDvSXlG+W8z/w8ZUWi07nZl1+vFYnOoq9XW15DWUeL9CmOsk9BMzQ4nvaNpcL7RJXAOKaghJXfhXl/hOpLMu3fHibTlW8PeZ+C6oFpSwyOGTiSzDh5mF9OdtvOvbjxw2d78rj8nGimOdBw0kDalJ486uZHXsC6D53l/L/r/BXMA6fLAVckOj25LnO+8LEtpmrGocwB8VsSRSmyzErh2IlGXfXdz285FtNyNxwZy/Y99mgq41ou5q/+9SX0dC/HYzddDNOyoU0tA1O4bMrASAqpjIVv/Gi/6/hv/Gg//vaz5wPxE38Oxerj914K65jbXrgfANd+p8Q033r7lVG4JE25S9fMhYYGDYta43j0xos45SSVJcwlVhjHFJSw4phLFBERVQfDtJx+vl+7bEn/9ho4nps0xyK++zTHIkXP65dblJJvzFZhnjJdnYu9Xk15DWWxT0FBCTOWGMcUFOZ3VOvYFhOVJ2PanvyuWG6jKeKEOVHu51JzIMO0ij6zU6ce2vmdv1J54HQ5IHO+6sS2mKoZn74FRNdUz1IGtoTv8gaF1/6EYfnu57cci6a6J2eJqIrvsaMTGdz0cJ9rm6IoWDjv+BRDQ2Np/2VcVAVD42nP8brmnaYuf80xXVMRi3g/h2LvpbCO/377R3yPjekqzloQh6oIzI/r0FSBK5e0Y0Wi0xkIsquv37eMwjr7/Z6KvbcwNTRoOJUPx6lMmuJ/rczVEiuMYwpCWHEc9vVDRERZuqY6/Xy/dlkV/kvKRVQFUS2bK42mMv4509TA81Lzl1LyjXLeZ349pqtzsderLa8h9ikoOGEuock4pqBoisDXrj4Xly95F2wpoQiBn+x7c07yOy5BS0EIsz1kW0z1IJffNUU1PHjDBWjUVcyP67hySbvrD32zz8L82+5cTpT7udQcSNdUpDK27zmtqYd2fuevVB44XQ7InK86sS2masblXQLSGtexdU2XaymDqCbQU7C8QU93AlFNuLad3troOXbr9V2+y7G0N7nXhWpvivqWcXpro/t8a7rQGncvq9ASi/ge2+bzXvyOz605ds2mp3HpPT/FNZuexvC4gW1rLyipPoXbdE14loN4ZN0HcfhYGmu3PY/L7/0Z1m57HsPjGXzl4+firsf34dote3DX4/twyxXn4D3t8Wnr7Pd78tuPqB60xnTccsU5nmuFS6xQLQkrjnn9EBFVh9a4jtNbG/Hu5ihuuXyRq13+4uWLoCrSd0m5p/a9ieFxA9s/fyF29fXjnhVLPfvs6utHz+6DnqUte7oTmB+PePKzUnKsct5nfp6yq68fm1Yv99RrV19/0deZ11Qn9ikoKO1NUd/2rvA+USUwjikorTEdiTMX4LNb9+Cyjbvx2a17kDhzwZzkd1yCloIQZnvItpjqQWtcx3va42iIKLjzh7/BtVv2YO225/HFyxfhyiXtALJt9MaVS3H/vx3wzdVyOdFMc6DWuI6oJjx51KbVy7H15684/+86fwXzwOlywF19/djMnK/qsC2maiakrN0pZ7q6umRvb2/Y1XAUznrRGtdh2xKD42lnSZX2pigURXj2A1DSsZrmHadjmnZJZSgFI82GxtL46g/2ekak/eU1S9Ea10s6/ppNT3tGGn5/wyUwbTmr92yaFoaShrMchBACqx541lPGXZ96P9Zue9617Xs3XQxNVU5Y52K/J7/9ZqCsg6stjql+vD4ygWu37PFcP4/eeBFObWnM35UxTFUrrDieQblEQZp1HFdjW3zGHU/M+thDd18VSrmzFUZ9yymzgirSp7BticPHJvEZn7xg++cvxKPPvYaVXadBVQQsW2Jn7++w/IxW3PX4Pnz/5ksgIGDbNiwJSCmhayqaG7Rs3mHZaIhk/1IqY9nQNRUtsQiOpTNIGRYsCTREFCyIZx+qBpxHeN5n7vxCCOiqgGFJp84tsQhGUhkYpoWIpkBXBZJpdx2DrM9JjH0KqlqZjJW9/zN1z6S9KYpIxPPXnoG3xW+MpnzvzTx208V4d3OsnOLoJBPmfYrJSRPDKYNL0FJZZvi9Hmh+xz4FhaAi+d3g2CT+cNMznlh+6PMXAhL43ZEJ3P/UAfyqfxTndzbjS1cswtltcTToKubHdCcnmk1OZtsSxyYNJNMWTFsioipo1BUk08VzLKByeWB+DhhRFagKkMrYsKe+qxqjKgxLImPaFclBTxJsi6nWlRzDofRshRDNAL4N4P0AJIDPA9gP4FEAZwA4BGCVlHIkiPIq8JC/6Dnb5rn/wkJRhCcBtn3Wdir1WD+appRURiHDtDA0Zri2DY1l35NfffyOb2uK4s6rlziDRnp2H4SU2S/L3L8z+aw1Tc1OTzX1uU4Ypm8ZfuuoZSwbEtk1tYSV/WL0K7uU9xY2JqIUBK4vR/XAtCX+euUH0Dk/7rSJ/UeSc7LmcxjlEhGRl21LWDI7o8cpsQhUISEhAEhoioKPvu9dOJI0nFzhV/2jePS978TASAqTGRsdzTHfvOBEudZ8LQrEvdsrmUeUkqcUvt7Me0pVj31yCpJlSc/PkUiRnQOUsWz/OLbsyhdOdSXMPItL0FIQwoxh9ikoSGE+fzBMG21NUXx7TQLzGiIQApASsGwJCTgDPgDgV/2jWLvteTx9+0fQPq8BQHk5maIINDdGPXlU/s9+OVal8sBaeFZFbmyLKUhBt8Vh9XS/CeBHUsqVQggdQCOA/wHgKSnl3UKIOwDcAeD2cgvKLUGybnsvBkZSzhRIixfOm/XAj3LOWYn6zLaMmK7iKx9fjNt27nX227hyKWJ6aWuCNeiK5/i/++z5eDtp4KaH+1xlRzUFa77znLNt++cvRNq0PXUs3G/n+ot966gI92fV0RJzzQqSm+rr3IXzfGdHqWaTkyYODCexYcfxz3BzdwKLWuMc+EEzElGVomvcE9WK+XEVxyZ1ZwR1rk2cH6/s+pVhlUtERG6maeOlw2NYn9c3vmfFUjz0zKu4+SPvQca0cetjL3pey61/fHBwHMm0GWi+RTQT7JNTUMK8VxDV/ONYr7H7LRS+liJ5VgvzLKoRYd4rYJ+CghJmn8I0baiKwMbPfAApw8b/+y//gc9dciZu33X8+c99q5bhr/71JWfgR0dLLDuzvGnX3LMeqj9siykolWiL5zwKhRCnAPgQgL8HACmlIaUcBfApAA9N7fYQgE8HUd5w0nAGFgDZEVfrtvdiOGlMc2RlzlmJ+sy2DNOWzmCK3H637dxb8og0I+M9/kgy4wz4yC/7teEJ17bXhid861i431tHJ33r2P6OqGsts40rl+Kto5Ou/dbv6MPgeHp2H2KIhlOGc5ED2feyYUcfhlPBxQidHFQBz7qHG1cuhcrnHVRDjqVs3zbxWKqyf1UYVrlEROQ2OJ52BnwA2fb49l3ZJSpHkhlnwEf+a3d84r3Y1dePe1Ysxf1PHQg83yKaCfbJKShh3isQ8I9jhjHN1FiRPGuMeRbViDDvFbBPQUEJs08xOJ7GZMYCoGDDIy9gRaLTGfCRq8utj72IL12xCEA2zu/9zDL85RP7avJZD9UftsUUlEq0xWFMG3AmgCEADwohlgHoA/BlAAullG9O7fMWgIV+BwshbgRwIwCcdtpp0xZmmJbvVDuGac22/mWdsxL1mW0ZGdN/es6MWVon1fCZ3rNRV33PWbgcS6n7pYvU8UjScC358o0f7ccdnzjXs1+1TjV6ojjm9FAUlEnTxjd+tN9zrfzNdeeVfe6ZtsVEs1XJNpFtMdU6tsVUD6aL42JLCjTHIs7/F74mBLAi0Ym//t/7nb8OCzLfIip0ojiuZJ+cTi5h9YsBxjEFJ8w4JgoC22KqB2HGccayISWgiON5nV9dzmqL49/+24fw1tFJ3P2/srN+/PlV1fmsh+oL22KaK5Voi8MY9KEBWA7gFinlL4UQ30R2KReHlFIKIXzflZRyC4AtANDV1eXZx7YlhpMGDNOCrqmI6WqRKShnP+Wars3+nOUcG3T9yq2L3zRGE4ble84Jw32Ttdz9RieyM4qc6NiOlhi0Kp1S6URxrCnC9z1rnI6aZkhTBIbG055rJYhYmq4tJgpKJdtEtsVU69gWUz2YLo6LTZ06mspAL/LaobcnPP2fCKcBpgqark9RqT45nVzC6hfnymYcUxDCjGOiILAtpnoQZhxHVAUZy3LKzC3LWViXV4aSWLvteXf9qvRZD9UXtsU0VyrRFofRSg4AGJBS/nLq553IDgI5LIR4FwBM/Ts40xPbtsT+w2O4ZtPTuPSen+KaTU/j8LE0tn/+QtdUO1vXdKE1rs/6DbTGdWxd0zWrc5ZzbND1K7cu7U1R9HQnXMd3zo95tvV0J3B6a6Nr2+mtjb5l++3nd77O+bGStrU3RWf3IYaoNaZjc8F73tydQGssuBihkwNjiepBWHHM64eIZuKMO56Y9X90Yn45xz0rlmJXXz9a4hHct2qZ67X7Vi1DSzzimWp1fNKEzdmaKATsU1BQwowlxjEFhbFEtY5tMdWDMGOpvSkKXROIqMDm1cudZTnz63L/defj1JYGT/3aAnyGRjRbbIspKJWIJSHl3N/4EkL8AsAfSyn3CyG+BiA+9dKwlPJuIcQdAOZLKb9yovN0dXXJ3t5e5+ehsTSu2fS0Z1TM92++BALCmf2jNa5DKXPUVeGMIjM5ZznHBl2/cutimjYGx9MwLRuaqiAaEfjvu/4PViQ6namNdvX14+4VS2HZcJUDwFO23zbblq4yGnUF//TCAC5f8i5IKSGEwE/2vYlPL+/AhGE7+7U3RaHNzV/0lfXLK4xjAJicNDGcMmDaEpoi0BrT0dAQxsQ8VMteH5mALS0oQnViKffzqS2N+bsGHsNEQXl9ZALzYgrGUrYTx7mfKxnHMyiXKEizjuNqbIvLGdBw6O6rQim3lpTzGVVQRfoUpmljaDyNjG1DFQKKAOypKYEVIWDJ7DTBEUXg7aSB5sYIDFNibDKDwbE0enYfxNB4Gj+4+VK0zau9QeE05wLvU5TYJyeaVon3CgJvixnHFKSw4pgoCDO8VxBofse2mIIUZltsmjZGUwYEgLRpAwKQErCkhJTZv35XFSBjAaaVvdZ29v4Of/yh9zCfo9lgW0xVK+i2OKynyLcAeEQIoQN4BcBaZGcdeUwI8V8BvAZg1UxPapiW7/o3GTP4BzSKImb9BVPOseWUkRugkbFsRPIGRZRTF01T8O7mmPPz6yMTaI7pOGtBHKoiMD+uozmmI2VYnt9BqX9p51fG1x5/CV97/CXXfv/l/FMhpYQEsv9KWfKgFr/PBoDv50VUK0xb4pcHj+CSRW0AAAng2d8ewQfPXjAn5XPwEgXBtCV+tPewK45/tPdwxePYtCVSafdaoam0Hcj6pkRENDOapuBdzTHYtsTQ2CTsqT6/YUloCqAqAg2aAiGAN49OYl6DBimla0rMgZEUDNMqWoZtS4ymDKQMC5aUaIiomB/TMZLKVHSwPtU/05Zo0FSYed0KXVUxabJPQTOn6yr0jApMtUu6HtxSwSfCOKYghRXHREEI814B22IKUkODhlNDuk+be8aStmzYACxLIqIqaNIV3P2v+7Ei0YFdfQNY96GzoE7lXyMT5gnzuemc6DlR/mtCCKgCUBSF+R/5CvuZC9GJhNKqSyl/DaDL56Uryjmvrqm+69/oGpMH07Tx0uExrN/Rh4GRlLP8ybkL5wU6kCEeVdF98elYu+15p5xNq5cjHnX/DnJL8azb3uvst/3zFyJt2q5tW9d0YfHCea4vV7/f89euPhevj6axIe/9be5OYEFTBJ/p2XPC8xX7bBoiCm548PmKfl5+JidNHBhOet7LotY4H5jTjJwSU/HeU5tx3ZY9rlg6JVb5NpFxTEEJK44XxFW8Muz9XjmrlX9RQEQUBtuWODScxNhkBhOGhdt27nXa5/tWLUO8QUNEUbCrrx9P7ht0LQPzZx9bjIeeebVoXpg79+Fjk67z9nQncP9TLzvn88sliKbDPgUFxe8+yly1S4xjCkqYcUwUhDDbQ7bFVC+yM31kMDSW9uRfX/7oe2CYdknPmEp1ou8eAJ7X7lmxFA898ypu/ehifj+RR5jPXKi+VOIZWl1NW9Aa17F1TZdr/Zuta7qcZUNOZoPjaWdQA5D9S7f1O/owOJ4OtJwJw8bNj7zgKufmR17AhOEeAT2cNJwv0tx+rw1PeLat296L4aThOtbv9/zR973LuTByx27Y0QfTwrTnK/bZ9B9JVfzz8jOcMnzfy3DKmOZIIrdk2vaNpWTBXyRUAuOYghJWHI+m/MsdTVX++iEiIq/hpIHXhidwJJlxbgwC2fb51sdexOGjaQyMpLAi0elsv33XXqxIdOL2XXvx51ctKZoX5s5deN71O/pc5/PLJYimwz4FBcXvPspctUuMYwpKmHFMFIQw20O2xVQvBsfT6D+S8s2/bFsgoqolPWMq1Ym+e/xey+WR/H4iP2E+c6H6UolnaHX159aKIrB44Tz84OZLOQVvgYxl+y59Y1rBNkSlluO3FE+jrvoeWzhtl9/vecIwfY+1pfRsKzxfsTo3FkwvWYnPy49pS//PkEsK0AyFGUuMYwpKWLHEGCYiqi6GaTn98xP13RuhurY3xyIYGElBVUTRvDB3br/zNscirp/LmVKYTk7sU1BQii1pPBftEuOYghJmHBMFgffaiMqXseyi+ZctJSD9c77ZPpuZ7runWB7I7yfyw7aYglKJWKqrQR9AdkBA27zam9LMNG0MjqeRsWxEVAXtTVHfZUROtPbYic4Xi6i4ckk7ViQ60RyLYDSVwa6+fjQ1qHh9ZAKmnV3zekGjjmhU8y3HtqWnjooiXPtFVMV3iZ14VMUboynn2HhUxU2/fwZWdp0GVRGwbIlUxirp2Fy5+TRF+B6rCIEHrk+43nPhtM7F6jxhuL/QO1pi0NTKT45T7L1oHLxEM6QpAnu/dgXGUrZzjc+LKRibg78AYBxTUMKKY8YwEVH1MAwTAJz++Yn67oZl4/zOZqy/7Gy0xnWcEovgyiXt0DXVyXFs24YlAVtKKEJAUYDWpihu+v0zsPyMVlfuMJrKuMrh0qE0U+xTUFB0TcUvvvIhKEJ1+sW2tOakXWIcU1DCXJp7ctLEcMpwrp/WmM7lZ2nGwmwP2RZTvYioCiYM/2dBihBQBPDgDRegUVcxmsqgZ/dBDI2nXc9m8p9/6aoCPSIgbSBtZu8f5j9jm+67x++10VSG+R/50hTheba5s/d3bItpxirxvc6ebRUwTRsvHR5zlhjJrV927sJ5roEfpa576Xe+B65P4LaPn4u1Dx5fB+2RdR/E66PedQAXtcbx6siEq5ztn78QE4blqeMpMQ1/tPWXzrbvrb8Im7sTrnM+su6DePNo2nPsZy8+A6vzju3pTmDb2gtwQ14dv7vugxgYmXQdu23tBciYEuse7j1huZu7E9BU4K7H97nKaMn7az0AaG+Koqc74alfQ+T4YJDc+drmYKmg1pju+15aY1ymiGamNaYXXRNsLspmHFMQwopjxjARUXUwDBMvDyXxL78ewMquTkwYFjauXOpa+/m+VcsQb9CgKQK7evvxZx9bjNt3udeGbm7QsP/wGO778X587pIzXa/n1my+5Ypz8K2nXsaT+waddv/xXw8A4NKhNHvsU1BQ5kVUvHXMxoYdz7v7xY2VfxjBOKag5JZsLry3Wenv10qsmU4npzDbQ7bFVA9M04amAh3zY568rqc7AVUFMqaNO3/4G2f7xpVL0TYvivamqHOOwudff/+5BAxTYsPUsjD5z9im++4pfC2XHzL/Iz+tMR1Xn9eBtdueZ1tMZanE97qQsnannOnq6pK9vb1hV6Nsb4ymsOqBZz2jeR676WK8uznmbBsaS+OaTU979vvBzZe6Zjcpdr67PvV+rN32vLPt3/7bh3HDg8959nv0xotw7ZY9ru0P3nCB80Wbv++2tRfiD/7nz1z77Tk45BrlFlEVdP/9L6c9tqMlhr/+zDIcTWWcv65b1N6ENd95rqS6PPGlSzE+aTkj9psaVFx1//SfF3B8ZKhp2dBUBY26gs0//a1ntN4ff+g9fjPJlDWErzCOXx+ZwLFUGu+IRZ33kvv51JbGcoqik8zrIxOeazl3jRfEUqAxnCubcUxBCCuOGcMUklnHcTX2i8+444lZH3vo7qtCKbeWlPMZVVBF+hTXbtmDO69egl19/Vh76Zk4vbURtswOilcVgYgqICWgKgJp0/b93njspoux6oFncefVS5xB4fmv57bfefUS3PRwn+s4KSWXDj25sE9BVYn5HdWLEmcxDrwtLvH6ITqhGbaHgeZ3bIspBIH3Kd4YTWHCsJDOWGhujEAi+72gqQo0FVAg8OlNz3ja6+9vuATt72hwzlH4/KvYs67cM7YTfffkvyaEgCoARVGY/9WPwNti9ikoCDP4Xi85hjmUuQpkLNt33R4BiaGxtPNFZNv++xWuK1bsfLl1rnMUUWRtNJ91hIqtsVb4ndeoq3jgF4fwwC8OOdt+8qcfLunYgZEUogVL2gh461isLuOTU9OaTn1e45OlrxOqaYprgM3rIxOe9wEAay4503Ns0Exb4hP3P+PZ/rPbLqt42VRfwl5nlHFMQQgrjhnDRETVIfc90ByL4Ml9g3hy36Dr9UdvvAjvPKXB+dkvfxgYSTk5Um5t5sLXc9ub82YFHBhJQUrJGzdUFvYpKCimLXHJWa1Y96GznD9O2frzV5jfUc2xLBuGmf2jLZgWLMuGolR2xpow749QfQmzPWRbTPUgY9lQBDCeNnHVt/7d8/rPbrvMt72ezFg4kkyjOab7Pv8q+qzLyi4PrSjC7495p32NqBD7FBSUSnyvK9PvQpUWUbPLiOS7ckk7jiQzuGbT07j0np/imk1P4+2kgSuXtLv281tXzO98+etc59gSvvvl1hHKl1tjrXDfwnbMb79i5RQe29ESQ0ujjrse34drt+zBXY/vg+bzXorVxbKl6/OybOm7XynrsOXWeZvNseXy+/y5PiPNRpixxDimoIQVS4xhIqLqkGuPc2sq58vlOIpam9HIAAAgAElEQVTIts0f3rgbB4eSvvup05wnt300lXFt5xrOVC72KSgocV1F98WnY+2253H5vT/D2m3Po/vi0xHXeZ+CakcmY+GlwXFcu2UPPrxxN67dsgcvDY4jk/H+gVaQGMMUFN5rIypPRFVgy+LPeIrF+cGhJPa/NYZDw0noPs+Mij7rUvkIlILFtpiCUolYYotXBdqboujpTji/3I6WGL561RLcNLWOD5AdKXbTw33486uWuPbzW1fM73wPXJ9Ax/yYa5uuCWxevdy1bdPq5WjUFWxcudS1vX2e7jlnT3cCUU24tnXOz66pnb/Nsi1sLjh2c3cClm25tm1cuRRDY2nXe97x7KueYzvnx7D1+i7P+/v6E/tcx379iX3Z9z3N5+Unt87bbI4tV3NM8f28mmO8XGlmwowlxjEFJaxYYgwTheuMO56Y9X9UX9ri2TxkV18/7v3MMk/+0DE/BtO2nFkE73/qgCeX6elO4OFnXsUD12fPc88K9+v3rFiKXX392LR6OXb19TvbuYYzBSG3Tm9hn4JrPtNMGaaNm6fWqQey9z1ufuQFGKZd8bLZN6agDI6nnXXLgWwcb9jRh8HxdEXLZVtMQeG9NqLytDdFoWsCHS0NvnnbwcFjnudQ96xYivufOoDbdu7Fa8MT0CPCs49lW55nXT3dCbQ3cQYPClaDpmCTz3PVBo1tMc1MJfqnQsranXKmGtcuny3TtDE4noZp2dBUBbaU+L17furZ7+nbPwJdU6db99JzvvamKKSU2W1TawMpArjvxwc8U4N+4fL34E/+8ddYf9nZaI5FMJrKoGf3QWxdk4BhSdc5FUW41kKzbRvrd7ww7bG6KrBue59nvzs+cS6u3bLH9V56v3pFSeV+8P//iedz+OV/vxyKokz7efkpcY1RIOC17V4bTkJKGxFVdX5XGcuCEApOb42XUxSdZF4bTqK5UcX4pO3EUlODgtEJqzCWAl+fkXFMQQkrjmdQLlGQAl1nNGwcgFFZh+6+Kuwq+Am8TwEAhmHi7YkMhJCQdnYKTEURiCgCoykDd+z6De5dtQyX3/szAMD5nc34n6uWYXAsjdFUBkveNQ+//43dTm5g2zYsCUgpnTWbLQnoqoBhSUgpZ5w7UF0JPI4nJ00MpwynT9Ea09HQwNV2aWZeG07iwxt3e7b/7LbL5iS/WxBXMZo63jdujil4O8m+Mc1MmHHMtpiCMMN7BYHmd7xPQSGoSH5nmjaOThowLYmMLWHbEpqq4N9fHsRXvv8b/MsXL8UbRyexqL0JBwbH0bP7IH7VPwogu7xnR0sMC+c1OM+/IqoCPSIgbSBt2rCmztfeFIXGB/FUgbb4737yW9/nqmyLaaZK7J+WHMPs2VYJTVPw7ubj07gMjaXR0RJzrQ2Vm164lPXFCs+Xk78e9RujKTzzyjAe6xtwlfHlP1iEofE0bnq4z7VdQuDdzQ0olF+fobF0SccW269wCZqZlOv3eSmKMuv12MJay01TBK7d8rznvTx640VzXheqbZoicNX9z4QSS4xjCkpYcRzm9UNERG66riGStnDNpqfx4A0XYO02bx/Dyls7cmg8jZcHx3HTw33oaInhwRsuKDs3ICpHQ4OGU/lgkcqUm/63sP2bqyUFPvZN9o2pfGHGMdtiCkLY99p4n4LqgaYpSJsS+98aw50//I0npt84Oom7Ht+Huz71ft/nR7qmFn3+RVRpmiKKPlclmqmg+6cc5lal5mJ5Eb9lYHJTXs227FLrXWy/01sba245lqAtaPSf0mdBY+29FwpXe1PUN5bmYlo7xjEFJaw45vS/RETVJdff39n7O89Uqpu7E9jZ+zvn540rl6Jn90FnmtWdvb+r2dyAiCgnzP4p8zsKSpj3KYiCEGZbzPsUVE/am6LonB/zLPFy72eWYVdfPzavXo72ebpnec/TWxuZ11Go2BZTNePyLlVsBsuLzJrfMjCappRVdqnH+u0HoOLlVkDg05yl0ybenjg+pc+CRh3RKP8agWYuk7Fcyzq1N0URiaiFu1Vkqj7GMQUlrDjm9L8UAi7vQiU7mZZ3ycn19wWka9reBY0RvD2RyU7tqylQhcBkxoKqCEQ1BRKCS7XQTFQ0jonKEfT0v36Y31GlhXmfgigIM7hXEHh+x/sUNMcq2habpo0jEwYMy4ZtS0RUBYoAhCKgqwLpTHYpI8uWUBWBmK6iOca8jmaMbTHVOi7vUg/mYnmRYtNg+ZWdGyCSmVonrdiaaOXU27JsGKYF05aAacGybCiKJ/ErS4iDQ0oWjWo4lTdPKACWJT0/RyJzUzbjmIISVhyrqjjhz0Sl4kMSovLlD/iwbAkJIPftcCSVQURV8M53NFRdv54IKPkBJ9G0hDjxz0RERES1IJOxcCydQcaaGsyvCGiqADhgn2oA7xlTUIK+Z8y7zVQS07Tx0uExrN/Rh4GRlLMUzLkL5/kO/JiObUvsPzyGddt7nfP9w7oPYjRlYkNeGZu7Ezi3vWnaG2J+59u6pguLF85zdRBK3Y+oHkxOmjgwnPRcU4ta4xx5SjUjrDjOZCy8NDg+q+8konzptImX3/bG8DkL4hz4QVSiXB/+n17ox8quTrw9buC2nXuda+rezyzD3//7K7j1o4vZr6eqwz4FBSXMPgX7MxQUtolU68K818b7fFQvMhkLb45NYnQig5sfecGJ502rl+OJF1/Hp5d3Mq+jqsW+DAWlEjnWzJ/W00lpcDztDPgAgIGRFNbv6MPgeHpW5xtOGs7Ai9z50qZ0gju3bUOJZfidb932XgwnjVntR1QPhlOG7zU1nGK8U+0IK44Hx9Oz/k4iyvf2hH8Mvz3BtpioVLk+/Mqu0zAwMukM+ACy19Sffu9FrEh0sl9PVYl9CgpKmH0K9mcoKGwTqdaFea+N9/moXgyOp2GY0hnwAWTj+eZHXsDKrtOY11FVY1+GglKJHIuDPqgkGct2Ai9nYCQF07JndT7DtDznUwT8y7Dd0/qXer6BkRQM05rVfkT1wLTlrK8pomoRVhzz+qGgMJaIypfrw6uKQKOu+l5TzbEI+/VUlfg9QEEJM5YYxxQUxhLVOrbFROUzbVn0WZCqCOZ1VNXYFlNQKhFLHPRBJYmoCjpaYq5tHS0xaOrsQkjXVM/5bAn/MkqYxsvvfB0tMeiaOqv9iOqBpohZX1NE1SKsOOb1Q0FhLBGVL9eHt2yJCcPyvaZGUxn266kq8XuAghJmLDGOKSiMJap1bIuJyqcpouizIMuWzOuoqrEtpqBUIpY46INK0t4URU93wgnAjpYYeroTaG+Kzup8rXEdW9d0uc4X1QQ2F5SxucQy/M63dU0XWuP6rPYjqgetMd33mmqNMd6pdoQVx+1N0Vl/JxHlW9DoH8MLGtkWE5Uq14ff2fs7dLQ0YOPKpa5r6t7PLMOuvn7266kqsU9BQQmzT8H+DAWFbSLVujDvtfE+H9WL9qYodE1g0+rlrnjetHo5dvb+jnkdVTX2ZSgolcixhJTlTzkjhGiUUk6UfaIZ6urqkr29vXNd7EnLNG0MjqdhWjY0VUF7UxSaNvtxQ7YtMZw0YJgWdE1Fa1yHZU2VYUtoikB7UxSRSGmjOv3Op/iMiCp1vxko62DGMVXS5KSJ4ZThXFOtMR0NDVrhboxhqmphxXEmY836O4koXzpt4u2J4zG8oFFHNOqJYaCMOK7GtviMO54Iuwp17dDdV4VdBT8V61Pk+vACEpYtkbElbFtCUxWoAlAUJYh+PRHAPgVVsRL7FBVpi2fQnyE6oRLbRN6noKpV4j0KoAL53QzKJgpCxdriTMbCsXQGkxnbieeopkBCMK+joAXeFjO/o6AEnd+V1SMQQlwC4NsAmgCcJoRYBuAmKeXN5ZyXssoZnODX6FiW9HQKVVX4Nk6GYWIoeXzftqmRlVJKyKl/bdtGOm17AlJKeMrRNAWD42lkLBuRqQEjUkoYppVdn8i0YFk2hBAQQgCQzv/7fQ4APNtsWyJjZTsJwrJh2xKmaXneh65raJtX3aPu2IGnesA4plpnWdLzcyQSUmWophWOsQ5gzDXRSUdRBE6JqhhJZZw1oIUiYFo2hKpA2Db6RyagKgIRRcCSElICqiJgTe1vS0ARgITAOxoUHE1lc5EGTYEEYJg2FEVAVwQgBNKmBUUIxKMqDEsiY2bzFXWqbE0RSBml52oVGHxONYJ9CgpKmH0K9mcoKGG1iXxAQ0R0XNj3beVUvlYoY1l462gKENm+hmVLKIpAg6bAloBh2bBsiYgi0NSgYDydfSakKQKNugLDzP6BgGVLNERUCACpjAVdVaBHBExTwpLZ8nVNRUssgpFUhjkazQjzO6pW5bbi9wH4GIB/BgAp5YtCiA+VXSuCbUvsPzyGddt7MTCScpYhWbxw3rRfOpmMhZcGx7FhR59z7La1F2AyY2N93rZH1n0Qx1Kma7/N3Qksao3jwHDStf2x9RdheDzj2be1KYJrt+xxtj249gKkC8rp6U6gIaLghgefP2F9/Pbr6U6gUVex5jvPuT6HqKa4t13fhYgmXMd+/+aLcfiY4anz4rY4dL16HzxPTpqezz/3e+EDc5qJMGOJcUxBCSuWGMMUFMYSUTAMw8RroymMJg1s/cUr+NwlZ+L2XXud62rjyqX4xo/2Y2g8jY0rlyKmq9j009/ic5eciYeeedXz7y1XnINvPfUyhsYMfOXji3HbTve5GnUVX/vnfRgaT2PT6uX4258cwJP7BtHREsM9K5bioWdexdpLz3TKnC5XKye/o9rG7wEKCvM7qgdhxZLfvdLN3Qmc297EgR80I2yLqR6EHUuGYeLN8TSOTWSw4ZEXjtdh9XI0RBRs/N/7PfleT3cClm3jC9/9lWtb76tv42uPv+Q8mxpNGrj1sRedfb553Xn4+uP/iaHxNO5btQwRTcEXp85x5ZJ2fOmKc1zPqJij0XTCvn6ofqTTJl5+2xtL5yyIz3pGxdmvzTFFStlfsMkq95yUncUid0MQAAZGUli3vRfDSWPaYwfH006Q5I7tP5Jyvrxy2zKm9Oy3YUcfhlOGZ7tlwXdfy4Jr24BPOet39KH/SGra+vjtt35HH14bnvB8Dp5tD/d6jjWKvL+hEj7DMPl9/rnfC9FMhBlLjGMKSlixxBimoDCWiIIxlDQwcCSFWx97ESsSnc4NQCB7Xd22cy/WX3a28/8jyYyzn9+/G3b0YUWiE+svO9sZ8JF/riPJjHO+mx95ASsSnc7ruXPklzldrlZOfke1jd8DFBTmd1QPwoolv3ulG3b0YXA8XdFyqf6wLaZ6EHYsDSWN7LOpqQEfTh0eeQFCKL753vodfTiSzHi2Xb7kXc7PuXwxf58v/+OvnZzt1sdexEjeOVYkOj3PqJij0XTCvn6ofrw94R9Lb0/MPpbKHXbUP7XEixRCRAB8GcB/lnnOqjMX0/Capu1a/kQVxwdT5GQHMlgYGkufsC6mLT3HNuqqZ5tSpAzTlmhriuLOq5egORbBaCoDRfHf1y6Yg8uvnIGRFBp1dVb7FdvW0dKAH9/6IWe65q0/f8WzzfL5HHLvr5r5/f5qod5UfcKMJcYxBSWsWGIMU1CqJZbOuOOJWR136O6rAq4J0eyYtnRyiOZYxPe6ao5l51Nta4rijNZGSAB3Xr0E7z6lwXVc/r+5/fNzn57dB9Goq2iE6jl3/s/52wdGUkhlLLw+MuGbpxmmVTS/I7fp8u/813PL7SiK4psb5+8b01WYdnaZnrmcutm0Jb70kbNxyaI2WLaEqgg8c2CIfQqaMeZ3VA/CahMZwxQU05bY9Nnz0NrU4CyLMTw+ybaYakrYsZRbrtOvDoqAJ987v7MZ6y87G6e3NuKB6xPo2X0QALD+srMhpXS2FXvmlJ+z5T9rKpZXnihH45Kdwcv/TCOaUtIyqrYtcWzSQDKdXbI1oipob4pC08qe52BaYV8/VD8qEUvlDvpYD+CbAE4F8DqAJwF8ocxzVpW5mIbXNG28dHjMs9TJlUva8eS+QWe/jpYYLFvimk1Pn7AumiLQ0RJzBcuEYXm22RKebR0tMTRoimeK4weK1EcR7s/Ar5yOlhgmDGtW+/ltu+n3z8CkKbFhx/HfyY4/vhBjk5Zr2z/eeJFvGVqVfwn7/f5qod5UfSJFYikyB7HEOKaghBXHYV4/VF/YHhKVz566oZ7LIUZTGd/rajSVwfmdzfjKxxfj+rylIP/us8tx5ZJ257j8f9/RoPku76IIgSNTf12R27ewrPztHS0xHBwcx9ptz/vmabqm+tZZ1zilfL7p8m+/13PL7dz60cWuzzx/37amqOf3PFdTN58SU/HeU5txXd6yqJu7Ezglxt89zUyYfQr2ZygoYbWJjGEKyvy4imOTqmu5883dCcyPV/57nfcpKChhtom53M6ypW8dALjyvfM7m/FnH1vsWurl3s8sQzRyfJmWXE6gCP/3lZ+z5T9rKpZXFsvRuGRn8Pw+0/ylW/0+X9uWeH10AiMTGdyctzxQT3cC5y6cV/GBH2yLKSiVaIvLin4p5dtSytVSyoVSynYpZbeUcricc1abuZiGd3A87bvUyVevWuJ80XW0xPDA9Ql8/Yl909alqUHF5u6E69jO+dlGL39bRBOe/TZ3JyABzxTHN/nUZ3N3AqoK17YOn3J6uhPonB+btj493QksPCXq2nbfqmWeY6+/5EzPlDemz/IzDz/zquf9bVq9HI165Uf7laM1pvv+Xlpjesg1o1qjawo2rV7uuQb0ORjxyjimoIQVx2FeP1Rf2B4SlW84aSCVsdAxP9sW7+rrxz0rlnra6J7dB/GlKxZ5cpkvfPcF3PGJ9zrH7errx+buBHb19cOype/yLm3zoujZfdA5966+fqes3Dk2rlzq7LNx5VLc/9QB5xyFeVprXMfWNV2uOm9d04XWONuCfNPl336v55bbKfzM8/f1W8ZnrqZuTqZt3ylbk2m74mVTfYkW6Z9G56B/GmbZVF/CahP97pVu7k6gqYED8GhmjqX8Y/hYqvLf67xPQUEJ8z7FcNLAj//jTTRFVd94btQVV763/rKzPUu9/On33Mu05HKChac04L5Vy1zn/OZ15zk5232rlqElHnFe39XX73lGdaIcjUt2Bs/vM51uGdXhpIG0KZ0BH7nj1s/Rsm1siykoCxr92+IFjbNvi8ua6UMIcb/P5qMAeqWUPzzBcYcAjAGwAJhSyi4hxHwAjwI4A8AhAKuklCPl1C8IczENb8ayfcsQAH5w86XOVFG2bbtm2ihWl/FJC7v/8zC+u+4iSCkhhMAPXxjA537vNDx640XO1HOtMR3vntfg2tbeFMUbxyaLTq2Vv29bXIeU7m1NDQqee2XEtW3fG0extKMZj910MUzLhjY11ZKU0rVfTFfwX7f1uaZW/qt/fQk93ctdn8OEYXrq5zcd2AO/OISVXZ148IYLXMvAfPkPFqElXuYvrYIaGjQsao17flcNDeVOzEMnm6RhYcezr3mugS9c/h4sqHDZjGMKSlhxHOb1Q/WF7SFR+QzTwvC4gedeGcaKrg6sSHTiHQ0aHrzhAoynTQyOpdHWpOOb150HCf9pgjVF4C8++T4AwG0fOxcL5kXwF598X9HpNBUFuP+PzocigHhUxdev+QD+4pO2s5zI16/5ADRF4G8/ez4A4Ivf/RV+1T/qOkd+nqYoAosXznPlNZwK2Gu6/LvY67mpmfM/8/x9ZzN1c1A4/S8FJcz+KfvGFJSw2sRi90r/MNGBU2IVLZrqTJjf62yLKShh3qcwTAtfe/wlXL7knb7x/MXL34OvffJ9EHnPovyuufxlWnLbBCROm9+If7zxIti2RDSiQgD45nXnIaIq0CMCpinx2E0XQ0oJXVPREouUnKNxyc7gnSi/y/1/4edrmFbR5YFMq/ID8NgWU1CiUQ3nLHC3xQsadUSjs2+Ly23FGwCcC+B7Uz+vAPAqgGVCiI9IKf/kBMd+REr5dt7PdwB4Skp5txDijqmfby+zfmUrdxreUtb4iqiK/xQuqoK2eVFn29BYuqS66JqKR/sGcO+/HXDtd90HT8epLY2eOhZuK1afiKrAyuvACiGg6ypOzQvAobE0vtc3gBUQzsCNXX0DOO+0+ViY915yn42uqcDUZ2PaEkPjadz0cJ+rXEVxfw6vj5S+VM3AyCTWbnvete1P1cV4fWTCNXhFURQMjqeRsWxn/S9FEVyfjWqapgg888owHusbcLZ1tMTw5T9YFGKtiGYmrDjm9UNEVD10TYUiBN7f0QzLBu56fJ+n3/+99Rcj3qDgWMr0zQv+860xJ8/oaInhzquX4KaH+/DgDRf47h+LaK4cpKh4NgcaKviLIr88TVFEaec8iU2Xfxd7PTc1c/5nnr/vTKduDhKXFKCghNk/Zd+YghJWm3iie6VEMxH2UltsiykoDQ0aTg3hj1F0TcWVS9qhCP94vvWj5yAaEXhg90EsP6PV2V54zeUv05Lb1lBqDleg1GO4ZGfwTpTf5f7f7/lnKmMXfaZaaWyLKUjRqOZ6xl6ucq+ApcgO3viWlPJbAP4A2UEg1wC4cobn+hSAh6b+/yEAny6zboEoZxre3HpU12x6Gpfe81Ncs+lp7D88Brtg5G97U9R3qZP2JveXTal1KXfq4La4/5QyacvGtVv24MMbd+PaLXvw0uA4Mhn3l2tzg4ZbrjgHdz2+D9du2YO7Ht+HW644B80FHQi/z2Z80izt/flMPxbRREnLyjxwfQLHJjOu97F/KIk3jqWw6oFn8eGNu7HqgWdx6EgS+9+a/ndXCZOTJg4MJ111PDCcxOSkWfGyqb6EOVUf45iCElYcc0kOCgrbQ6LytcQiiOkq7vzhb/BPLwx4+v0bVy7FeNqEZUu8I6Zh6/Vdnrwgf3mW/GVZTm9tLHvZFS7dEpzpPku/13PL7RR+5vn79uw+iI0rl4byO2KfgoISZiwxjikooeV3/K6mgLAtJipPSyyCL11xDh5+5lX/vM4wkTZt3PB7Z+LlN49hV1+/ZymNez+zDPPzlmmZqzad3yXB8/tM8/P1Ys8/o5rwxIXfM9WK1JltMVUxIeXsH2ILIfYDuFBKeXTq51MAPCelXCyE+JWU8vwix70KYASABPCAlHKLEGJUStk89boAMJL7uZiuri7Z29s76/qXqpTZOvwMjaVxzaanPaPNfnDzpZ7Rg6ZpY3A87Vr+RPNZA6rUusy2zrl6f/UH2XWRj8/W0Y8/uvB0z6wZj954kWumkDdGs4MnCt/zYzddjHc3x1xl+H02//zFS2HZOGG9h8bS+PbPf4uVXac50yft7P0dVnR1oiGiOdM0RlTgL/4ve28fJ0V15n3/TlV1ddf0DMzQzCAwiMqD6CQZhR4VJauoGx/3FuMSiCQ6EEmW183LneTBeH8SnriPcR+RzZ1NNsvrJhjEKKyENasbo3khZiFsZDBhkxFiUAhDlBmaGZjpt+qqOvcfPV3T1VU90z1dPdUzXN9/tM+cU+d0cdVV1++c0+d64feW79HcOB4f3WIf31PLb8Rf/u9fmGU7HroB61/4XUH/dgBK2sqda8dnumNYsu2Qre/ce00QQ/HnnjguxBIYp/jNk20uxpMYXxWwPI9w2YYBsmPCPbyy4zPdMVyMJ239jlP8ZMNEURTpD4dtx0PFxVc88tKwrnvyiXuGO6Rh90kURin/NmXE9ZgCsGqHVz9/K/w+ASc6o6iSRfTEU9iy/wS6+pJ4buVcAECVLFo0RZ3iQ3c8BVXT4ZMESAJDXB3QGwBKPuGvFP1FWBnqXmb/PZNuRxAEx3ueXVeR06dLpjRjqH8j12OKI6cimD09BN3gEAWGN05FMGd6iGIKoijOdMfw6u/fxR1Nk815j5+1v4sPvW9yri2VRd8V2DdBDEkioSESV4dKKeC6HdO7mnCDIucKXNV3NE9BeIDrvjij7dYvaEJz43gce7fXpuueXZHWdQIDfJIAWWSIJnUYHBCFdPzvk4RCY3tXoXeJ+2TfUye9nm/982JCRTSpQzO4eXq/05oqyBcTo5+CbbjUM0OeBPAbxtj+/k5vBfD3jLEggJ8M0u6DnPMzjLEGAK8yxo5l/5FzzhljjrtRGGMrAawEgMsvv7zE4RfGcI/hLSbHlyQJuYtXeV8gbh4J7NSHqul4pb0Tr7R3Wup+6oNX2b6LZnD8uSdupkXRdKOgXFqqpqO+2o/1C5rMDRlb9p9AXNWHdIyqpmPrL09i6y9PWsrvuPYyLNn2S/Pzz754m+177F833zlnd84jUyWLZc3PNpgdU85nwi1SuoG/+tZBW/lr6+aXfO2hfDHZMeEWXtmxZnDHfn/hQr/EpUU5/aEXcTFBuE0hdpytq0SBQdO5ZTN6hkwqyr6EhoAsYvJ4xZwgCgXlgY0CkvVvQOFH+uaDUre4x1D3sph7PVL/LkPFFJ957qitDcUURLFoBsejLx7Doy9aptBw+7WXlXztQvRdufomLj1EkQ36ebgMZcf0ribcoJxzBYX4YpqnINxCVTV0RQc24NUHZchy6SkGhrLjjLarVXxIaoajrjP6f6hucIBpBmRRhE8SkNLSa1BebrSgd4n7ON7T4NBtaqv8qC3DHgvyxcRopiQvzjn/DmPsRwCWAngTwCsAOjjnUQDrBml3pv+/nYyxfQBuBHCWMTaZc/4uY2wygM48bbcB2Aakd1mVMv5yU0qOr0z6kxU7D6OjO24eZTRrUs2QL7RC2+arF6qWC86TJgnMPNmjsU7BsyvmOrb15eTSUmQRD989C+ueP2q23bi4GYo89L3Jd19zx2dwe743kTnnXcxdd4mpelnzsw1mx5TzmXALvyTksePSc9sN5YvJjgm38MqOyYYJtyinLY1EXEyndRDlphA7zo7/dSP9C3On50rsf65UzcBX9v03Pv+hWZg1qQYAhq2tCKIQKKYgRgIvYwqyY8ItUikdxzr7sGZXm/lO3twaxjUN1fD5SptzG01zxsTohXwxMeqWBS4AACAASURBVBZQVQ3Hu6I2XzyrPljyxo+h7Dij7XriKUypVRxtWmBpm06kdDz+42P4zB0zseaZI6TliBGBfDExmilpxYQx9jcAfgzgEQCfB/AdAI8O0SbIGKvJ/D+AuwD8DsAPAXyiv9onALxQytgqgVJyfEWiqjkpCaR/Ebpi52FEoqprbfPVkwRmH/fSFjROUGx5ql79/buW9u9dSNhyJW9c3AzZZ3V4msHNDR+ZtuueP1rQr17z3dfpoSpLmV9itrxwkgjHfFuyxCxl0yYotlzglPOZGG0wwPF5HInwg+yYcAuv7HicIjja8Dil9M0mxKUF+UOCKJ3s+H/7a2/DJ8KWvzcT0wMcT/zoTSwKTzM1UCnaiiBKpTZPTFFLMQVRJF7GFGTHhFt09iXNRUYg/U5es6sNnX1Jj0dGEIXhpT8kX0y4RVdUdfTFXSOgjzLabm/baXBwR5uWREAUOLa/9jYWhaeZGz4yYyUtR3gJ+WKikin1vKbPAbgBwCHO+e2MsWsA/P0QbSYB2MfSu/UkAN/nnL/MGHsdwB7G2KcAnAJwf4lj8xxBYJg1qQb71s4rOsdXMalhhts2X724qjuOW9cN7F451zzyK+ATcG/O0Z4G53jy5eOWtC1Pvnwc335gtuVIppTmnAYmpVnTwDiR774CsJVNHsexZ9XN0HQDkiigPuhHSJEt36M+KEMQBEu9hmo/BIEN69+uVAIBCTNDQcsY8+Q3JYhBSWiG4/P4jx+7vux9kx0TbuGVHZ+P6uCGbrHhSF8C56M6agJl7ZoYY5A/JIjSycT/u1fORWdvErIkYMr4gOW5CvoFdMdS+MLuo3jjdA8+9cGrLBqonKkbCWIwzkV1TKiSLPYKcJyL6ghSTEEUgZcxxbmojukhv6XvGkUgOyaKhlLBEqMdL/0h+WLCLbz0xRlt97WFH4BucDTWWm26ShaQMjj+4eW3sKetA4vCjaTliIqCfDFRyZSqDBOc8wRjDIwxP+f8GGNs1mANOOdvA7jOoTwC4M4Sx1NxDDfHVympYQptO1g953EL6Wv0b4JIaoatfUzV0dWXxKqn2yzX9EkCunqT5gYKRRax6i+uwOKWyyEKDLrB8fzhP0GRRUu9fBst8t3X3DJBYJhSq9i+x1SHY8rs9UrP7U0QXiIJzPF5pKPGiNGEV3YsCQxrv/8b2zty98q5Ze2XGJsEAhKm0iYPgigJQWCQJRGb9/8Ry+ddica6KugGhyQyLNl2yOave+IpiwbKp3sMgyMSVfPqj9y/1yk+dMdTUDUdjDGIDBAEwdyEPti1iEsTSXC2UYopiOHgVUwhCQxnzscxThmYI8n9TBCFQEeiE6MdSWD4H9886Ml73cu+ibGF175YEBgaagIwDI73LibQE09BFgVc1Azo3IcHtg/EzhldN5x1snxaT9MMnI+pUHUDhsHhEwUIWbqONBwxGOSLiUqm1PNmOhhjtQD+DcCrjLEXkD6lgyiRUlLDFNq2mD4Mg+P42V4s3HQA8zb8HAs3HXBMldI4QcHWnLItrWEkU7qlbTSpYcH1jVj+1Ou44+u/wPKnXseC6xsRTWqWesfP9sK4xHb7JxIa3opEsWTbIdy2cT+WbDuEtyJRJBKa10MjRhleHv9Ldky4hVd2TCk5CIIgKo86xYeH774GAPDx7Ycw/x/24//7999jc06qlw2LmrG37bSpbfLpnjrFZ9M42frDSQMdO9uLL+87inkbfo77t/4Kf+yK4sv7juJkJDrotYhLF4opiLFASJGhccGi7zQukB0TRdNQ7Xf0iQ3VtIGIGB14+V6nmIJwi/qgsy3Vj0Bq+wwZrfXoD3+HnlgKy596Hff+03/iay/+3pLKc2/baZveK2SdzEnLHT/bi1RKx8nzUZzo6sPHth3CrRv346Nbf4WTkRi+vO8oaThiSMgXE5UM49wdB8YYuw3AeAAvc85HJKFWS0sLP3z48Eh05QlD/erMjbaF1uvqTWLhpgOW3Ws/+cJtePLldL7szJH7e9tOY8VfzMD5mGop+/iN07H8qdctbR/a8Wvbbrinlt+Iv/zfv7CU7Vs7r9JP3Chp62euHZ/pjuX9JdjUuqpSuiIuQRIJDZG4OtTxv67aMEB2TLiLF3Z8pjuGnQffsZ1IteyWK8mGiXIybDseKi6+4pGXhntpokI5+cQ9Xg/BCddjimy6epP43ZkLWP/C7ywxxl1NDXj47mshiwyiwCAI6f9ODPpNbeOkeyJR1aZxsvWHkwZqrFOwfkGTeQJV5rMsCrZxjRItQ9ihmIIY7ZC+IyqaVEpHZ1/S1HcN1X74fLZfbJc1piCI4VLke91VfUcxBeEmqqqhKzow11YflCHbT0cvmy/OaK31C5rw2IvtNn237v++BhfiKUweH0DQL0LVOVKaUfA6WT4tt3vlXPzhbJ+jdsuMhTTcmIN8MTHaKdiGXTsTknP+i6FrXXpomoHOviRSugGfKKCh2g9Jsh+w4jQJWej1ADiWpXQDmsHB+o+pAuzHDecjdzyGYeCrC65F05TxZiAgSwy1ioyrJgYhCgwTgjJqFRkBn/X7dfWqaKwL4NXP32o6waBfwC1XhbDi1qvMsu2vvQ2/xLB1adjcMLJl/wkYhlFQyhene6hpeiHBiyMFBj6uoxkc//G5W9AbNyw5wbqjlKeOGD1oBsdnb5+BW2bWQzc4RIHh4FtdlKeXGDVoBsc9zZNRJYvQDA6/JOCe5slkw8SwKHDjEkEQeTAMjp54EprOcc3kauxZORep/vhCFgVohgGDp49ZlYS0RumOp/DuhbhFP+RO3KmaPmh+6Hx/r1V8jp8p1zThhGZwfPymy+ETB2KKj990OcUUxLDwKqbQDI4ff+4W9GTNU9T25y4niGLpTxMOgGf9P0GMDjSD47N3zjD9oV8S8Nk7Z4yIP/Syb2LsIcsSpo7AWkcuhsHRm0hCNzh+sPZmpDSOZ/7mJkgCQ5UsIKYaiCZTOB9VsWTbIRz40u2orfKbbSNR1abznMin5TSDo0oW8+o80nDEUJAvJtwkmdRwLjag7yZWyfD7h++baba5jGiagWNne7F6Vxs6uuNmqpNrJtVYNn5kjppasfOwWW/nJ29EUjMsZduXtsAnMTy043Wz7PsrbsLFuGbp46nlNyCRMmz9Vskiln331wPXW9YCvyTYymbWV+Otrj5L38+uuAmX1VaZv+xorFOwY/kNWHbLFVj+1MB4Nj84BwGfYO7ObKxT8M2PXQ8whuVZ435mxU1YevN0S9vvPtSCiwnN0vafH5iNc1EVq55us4xx1qQaW67t3Hv4r6vn4lxfCmuy7sPm1jBm1QeH3LyhqhqOd0WH1bZUJgZFvB1J2vq+KkS7S4niyKRYybWlmaFg2ScGxysirp1ai49l+YzNrWGMV4bOt0gQ2XhlxxOCIi4mRMt7b3NrGBOCZMNEcXjpiwliLGAYHGd6YrgQ1/Ctn/4Bn/rgVfjiv/7WfJ42Lm5GbZUP33j1D1g+70pMCPrw3sWkRQs56QcAkCVx0PzQ+f7eE0/ZPsuiMOxc08TYJq3vNKzZ9XqOvvMN3ZggsvAypqB5CsItCp0rJYhKxUt/SL6YGO0YBsfZ3jjOR1P44RsduOe6qVj7zBGLPZ/suogr6sdh5qSgRU85rf/k03lAfi0nCQwxVc+r80jDEUNBvphwi2RSwx/O2fXd1RODw974QdF0GensG5hsBNK7BVfvakNnX9JSLxJVzZdVpt6pSMxWtuLpwzh9Pm4pUzVu6+P0+bhjv6ciMev1dh52LOvsS9r6TmrcNLxMWYdDP2ueOYKO7oSl7HPP/QYdOeNOaby/7kDZme6EubkjU3Y+mrKVrdh5GJGoNYOQ0z3UdNjGvGZXG7qiQ2cf6oqqw25bKj1xw7HvnrhR9r6JsUUk7mzHkXj57TiadLbjaJLsmCgOr+z4Yh5ffJF8MVEkXvpighgLRKIqkv2aZ1F4mrnhA0g/T+ueP4r3LiSxKDwN654/ClEQbRrFST8AQCgoY/uylrz5oZ3+vqU1jL1tp83PGxY1Y2/baUwPVQ16LeLShfQd4RZexhRkx4RbFDpXShCVipf+kHwxMdqJRFVoOrDq6TYsbrnc3PABDNjz7OkhrNnVhrhqYOvSsKmnnNZ/8uk8IL/Wa6j2Y9qE9I8Hsv/29Y9eh71tp0nDEUNCvphwi3MxZ313LjZ8fUc/LywjKd1wPkJKtz78TkdN5Ttiqkq27jIUmP0Y4ULb5itzGrfb/RR6vXx95B6x5XQPdc6d738Bx+hqxvDbloqXfRNjC7JjYizglS2RDRNuQbZEEKWharqpHTLH7WaT0RpVSOsGJ53hpB8AQBAYZk2qwb618xxTSTr9vU7x4fGFzfjqvToYYxAZ8PjCZnNiMN+1iEsXeg8QbkH6jhgLFDpXShCVCvlighg+qqabazaiwBztWe+3c83gmJilp4ZKzZnLYFrviglBjAv48NzKuTAMDp8oQMjSdaThiMEgX0y4RTlsiU76KCO+/iN+s2msUyCJ1tueOWoqm8wRU7ltY6r1JWZwDLttvjKncbvdT6HXy9dH7hFbTvdQZMz5/ju8tFMpHWe6YzgVieJMdww1Afv18rV1G0kofNwEMRhe2hLZMeEWXtkS2TDhFmRLBFEasiSa2iFz3G42Ga2R+ZuTzhjsiF5BYKiv8WNqXRXqa/y2Cb7cv0uSYH6eUqtg0njFbDfUtYhLE3oPEG5B+o4YCxQ6V0oQlQr5YoIYPrIkmms2usEd7Vnst3NJYNAMjrMX4ujqTcInOb8/BkvFkk+fSZKAhnEBNNZV4fJQEJNzdB1BDAb5YsItymFLFFGXkYZqP7a0hm3HATdUW3M7OR015Xg88NIWTJugWMpkidn6mDZBcex3eqjKdpyVU1lDtd/Wt19i2JxzzcYJCrYutfeTO0anMjnP9XLH3ThBwfacPpyO2HK6h5IIWx+bW8Ooz2mbSuk41tmHJdsO4baN+7Fk2yGc6Uliz+q5Q7YtByFFdhx3SKFjxYji8NKWyI4Jt/DKlsiGCbcgWyKI0ggFZfj7Nc/ettP4+kevszxPGxc347LxfuxtO42Ni5uhG7pNU9ARvYSX0HuAcAvSd8RYoNC5UoKoVMgXE8TwCQVlSCKwdWkYzx/+EzY9OMdmz2+cimBzaxjRZApLth3CH7ui+PK+o+hLaJROk6gIyBcTblEOW2Kcj94jZ1paWvjhw4e9HsagaJqBzr4kNN2AJApoqE7/OiwXw+CIRFXLUVMAbGWGwW3XA1BQmSCwgvoQBOY4nlRKx7mYCs3gkASGKlnAlv0nsLjlcogCg25wqJqBb/70D1gUnoZaxYeeeAp7207j///IB5DUuGU8nPd/l/7rBXwC/tcP/tvW9mt//QEwxoY8JtlpzJqmoys6MOb6oAxZtmY1OtMdw5JthyzH6DTWKdi9cm7633CQtv2UtIXPyY4TCQ2R+MC4Q4qMQICyMRHFcaY7BkHgMAxm2lLm89S6quyqrtswQHZMuMOZ7hhqFQE9ccO0pcznctrxme4YLsaTGKf4zX4zn3P6JYghKcIfDtuOh4qLr3jkpeFemqhQTj5xj9dDcKIsMcX5aFoz6DoHGAc30jG6IDDIogDdMKDz9K8kVM3At3/2R9zZNAmhoIwptQouGxegX2wRxUD6jqhIznTHMF4RcCErLs58Lre+KyImJ4ghKXCutCwxBUGUSpH+0FV9R76Y8ADXfbFhcFyIJ5HUOAQBSGncst4UUw1Ekync9Y//CSC9TrN+QRMee7EdP/z0POgGKJ0mUSyuz7WRviPc4Ex3DEdORTB7egi6wSEKDG+cimDO9NCw9R1ZYZmRJAFTapUh62WOmsolt0wQmOP1Ci0rpI984/H5xPRxWf0v1YsJDVt/eRJbf3nSrLN75Vx09aqWdl29KqJJHZeHgpZyw+CW60WTGl5p78Qr7Z2Wel+5x7mt0waWXGRZwtScjRoZcZnSDfhEASxP3m/N4Jie0+9IIQiDfyaIQtAMjts27LeV/2Ld/BHpn+yYcAPN4Hjfoz+1lZfbjjWD4yftXbhvTiM4AJ0DP2nvwodnTy1rv8TYJBCQMJXEH0EMm7iazt/8xI+OYfX8GWio8WNCUIZucMQNHaLA0B1Vce+3D5ht9rR1AAAOfOl2x03uxeKkP/Jdp5i6BEEQhaIZHO/3IC7O9P3d//yTJTb+7n/+iWJjYlgUOldKEJWIl/6QfDExFhAEhosJHbdt3I/7w41YcetVCPgE6BzoTeh4871ebNl/wqzf0R1HreJDR3cccVUv+wanXC1Xp/jQHU8V9ENqgiCIYtAMjs88d9RWXoq+o9lnoiAMg+P42V6s2HkYHd1xNNYpeG5lOv1J9oYJgTE8fPcsrHv+qFlv4+JmBHzikNd7doX9eo11Cnw5eT2d2u785I1IaoalbPuyFsyaVGN54WqagWNne7F6V5tZb2trGHc1NVg2m3iZg0tVNRzvimJN1hg3t4Yxqz6Y76QRgnAkkxMs95kaCdsmOybcwis7rgmImH/tJDyw/ZDFhmsC+XOFEgRBEOVBlkSLzqiv9ts0x+YH5zjG9JrB8Xf7juKV9s68GmEonPRHvusUU5e4NEgkNLwVscfFM0NB+jUYURRe6juKjQmCINJ46Q/JFxNjBUlgWPUXV+Ce66Zi44+P4RO3XIkv7R3QdhsWNeMffnwcb5zuQWOdgp54Co11SvoHxGXEScttaQ3jWz/9g6knC12HIsYupO8ItyiHvqPfXRMFEYmq5osMSO+wfPrgO7Z8Q5PGB8zJ10y9dc8fhW7wIa/33oUENi5utuXoln1syLanIjFb2YqdhxGJWk8d6exLmhs+MvVW7WrDl+9psuVN8iqfaFdUNV8YmTGu2dWGrpzvQhBDMV4RHHOCjVfK7/rJjgm38MqO46rhaMNx1ShrvwRBEISdUFDGZVk6Y/X8GTbNseaZI3jkr661vC++/tHr8PhL7VgUnmbWc9IIQ+GkP/Jdp5i6xKVBJO4cF0fiZBNEcXiZP5xiY4IgiDRe+kPyxcRYoaHaj6W3XIm1zxzBovA0c8MHkLbrL+09itXzZ5gbQPa2ncb2ZS15T3t3Cyctt3pXm0VPFroORYxdSN8RblEOfUfbjoiCUDXdlgJl6y9PYsWtM7Bn1c1mHk5NNxxTpai6Nfh0up7BOZ58+TjWL2hCreJDTzyFJ18+jm8/MBsIDt62Shad+9V0S1kqz/gElk5Nk8nB1VDth8/nzS5pzeB5080QRDFEojr8otW2o8kUIlEd1YHy9k12TLiFV3ZMNkwQBFE5CAID5wN+OXO8bzYd3XFIAsPTn7wROud470ICT/zoGN443YNPffAqS71cjTAUTvoj33WKqUtcGlBMQbhFICBhZihoiYtHKn842TFBEEQaL/0h+WJirODzidD77Tmftrt6Ug12PHQDEikdX733fZg8Xin7SRr5tFyt4jM/F7oORYxdyBcTblEOfUcnfYwBDIOjqzeJM90xdPUmYbjgXHKvqciiudsoQ2OdAg6GKbUKLg8FMaVWgdh/HE1uPZ8oDHm9mKqjqy+JVU+3Ycm2Q1j1dBu6+pK2Y7tkybmtU7+5bX2i4FhPFARMravC9FAQU+uqPNvwAQwc6ZONl+lmiNGLJDAc/OM56Bxmrs+Dfzw3IrZEdky4hVd2TDZMuImqajjTHcOpSBRnumNQVc3rIRHEqEPKiuMzx/tmk0nl8tyvT4FzYEqtgicXN2PVX1yBnnjKUq/YY4Gd9Ee+6xRTl7g0oJiCcBNBGPxzuSA7JgiCSOOlPyRfTIwlMvacT9uBc5y9mEAiZUAzON69EMf5qDtrX/nIp+Wy9WSh61DE2IV8MeEmgYBkWZsudUM/bfoY5WTyjC3cdADzNvwcCzcdwPGzvSW9/JyuefZCEk8tv8FyzMyW1jDqsnY5AumjuXKPo9nSGkZC1a3Xu5jEzk/eaKk3PVSF7ctaLGVOx3aFgrKtXqFtG6r92OIwPq9SuThRH3Q+0qe+zMeXEWOPkCIjfOVEPLD9EOZv3I8Hth9C+MqJI3L8L9kx4RZe2bGXx2cTYwtV1XC8K4ol2w7hto37sWTbIRzvitLGD4Iokuw4fsv+E7a0kN+4/zoYnOPe6xux/KnXccfXf4HlT72OBdc34t3uqFlvOMcCO+mPfNcppi5xaUAxBeEWXsYUZMcEQRBpvPSH5IuJsURmHWlv22lsWGTVdhsXN+MLe36LR37w39AMA//zud+k4573enEyEi3bxg8nLbelf4yZz4WuQxFjF/LFRCXDOB+9R860tLTww4cPez0MT+nqTWLhpgOW44Qa6xTsWzsP9TXD28iQ75r/8NHrcCGeMlOv7G07jccXNtv6SaV0dPYlzeNoAj4B9/3zQdv1frD2FjAwqJoOWRLNF2MkqlrKnI7tMgxuq1doW00z0uPrT0nTUO2HJJW0/6mkLXxOdqyqGrqiqnkP64MyZJmyMRHFcaY7hiXbDtmevd0r52JqXVV2VddtGCA7JtzBSztOJDRE4uqIH59NjC2KsGGgBDseKi6+4pGXhntpokI5+cQ9Xg/BibLEFBmy43i/JCChGUjpBt67kMDXX/kDPnvnTKx/4XeOzxuAQTXCUDjpj3zXKaYuUZFQTEFUJF7GxWe6Y3j19+/ijqbJ4JyDMYaftb+LD71vslM8QxBuUNaYgiCGS5H+0FV9R76Y8ICy+uLuWAKRPg1+iYGDQTcMnDwXw7d++hbeON0DIB3rrF/QhFVPt6GxTsFj970f7586fthrX0ORq+XqFB+646lhrUMRFQP5YmK0U7AN0yxDmSl0wm+4mxjy5RkzDANdvcmCN0CkdAO+/g0Q+a7JAKx6us1S/tV77bnKRFFIH2fV33cipWNJuBH3zWmEwTkExvDCkQ5IAhBX9XSuK02HrhswDA5VGyhLpXT4fKLjfch9sWv9k76awcH6r5XvHvpEAZxz+EQBgsAqbmLWMAb/TBCFoBkcP/z0LYirhjnBrMgCehMjk2NQliVMpU0eRIloBsePP3cLeuIDdlyrCDgXpVyZxOhAMzjqq/1Yv6DJ3Di7Zf8JyvVJEEWiqhq64ykYnIMj/Wz5JQEBSYA/VIVvfnw2RAHY8dAN2P7a29jT1gEgrWN0g0ORJaiajkhUtcT6heoAQWAIBWWzbu51cuu6MQmZPTbGGESWTnMmMkAQBM81C0EQI4tmcOxeeRMAZsbFAB+RmEIzOBa1TMXFuAGt3w8tapmK8xSTE8PAq41wtAGPcAPN4Fhw3RQkNW76wwXXTUFULf/krWZwfLRlanp+pL/vj7ZMpfkRYlSSSGiIJQ34RAaBMQT9AvqSwFX1QfzzA7MhCgynu+N4/KU3Udt/2nxHdxxVsghV0wfVcaWs9Thpuczn3OtOHq8Upcey2/skAZLAEFdpM8log3wxUclQZFtGMmlSVuw8jI7uuHnU06xJNRZnna+eXxKw7Lu/HrRtJs9Y9iaNu5oacC6qYtXTbYO21TQDx872YvWugXpbWsOYXOu3XbOxTkFMtTotp1xlTt/lhU/fgvnXTsID2w9Z+olEU1i+43Wz7Adrb8bZiyrWZI1nc2sYE6t9+OiWQ8P6LlWyaLuHufd15ydvRFIzhvx3GikSCQ1vRaK2+zAzFCQxShTFxKCItyNJmy1dFaqcdEYEMRRe2TH5YsItApKAh++ehXXPHzVtaePiZgRKO2WMIC4pVFXDqZ44zvUmLc/SN+6/DrIkgAPY9PM/4hO3XInvHXwHn75jJgBgT1sHGuvSE3GZkwyzY30ABek1oHBt5xZO/W1Y1IzvHXzH/J6f/9AszzQLUTgUUxBu4aW+I21JuIVXPpF8MeEW5IsJonTy+eS2d87h0RePmZ9f/f27+MqCa6Fq6U1VjXUKOABFFvNqM6BwjVcMpepBp/YbFzfjyZePo6svWXFrVER+yBcTlQzNNpeRSFQ1nTSQ3om4YudhRKJqQfVORWJDtnXKM/aVe5rMDR+Dte3sS5qbJDL1Vu9qg5rijnnJpoeqhsxV5vRd4qphOsDsfjrOxy1lqsZt9dbsaoOmY9jfxeke5padisQK+ncaKSJx1fE+ROLejIcYvfTE7c/eml1t6InT0THE6MErOyZfTLgFB8xFaiBtS+uePwo654MgCqcrqqLjfNz2LH1+z29xPppCdzSFReFp+NLeo1gUnoa1zxzBiluvMidfnj74jmOsX6heAwrXdm7h1F/m+2X+66VmIQqHYgrCLbzUd6QtCbfwyieSLybcgnwxQZROPp98R9Nky+fFLZfjc8/9BrrBzU0S0yco0AyeV5uVS7eVel2n9uueP4rV82dU5BoVkR/yxUQlQ1uZy0i+NCmqphdUr0oWbWW5bQWBYdakGuxbO8889qnQflO64VgvpRu2a2Y2d+SWFZJuRjd4Qd8vXz2Dc1tZod/F6R7mllXJYkH3a6TQ8twHOgaeKBayJWIs4JUd0/NDuEVSc45RMr9UIQhiaDSD543ZM7F9FdJ/r1V86OiOQ5YE7HjoBgAcW3950tYuE+sXqgMK1Vhuka+/zPfL/NcrzUIUDsUUhFt4aUtkx4RbkL4jRjvkiwmidPLZMs9aB+rojkMUGDq645hSq2D9giY8+fJxfPuB2TDyzrMUp/GKoVQ9OJi+AypvjYrID/liopKhTR9lxCn1ilNKlHz1nNKpKLKIrt6kZeOFrhtQNT3tVDQdAZ9QUL8+0bmeJDofAJPbj64b0DSOruhAPszqgIBHF1yDO5omw+AcAmPwiwx3NTVgUXiamct+b9tp2/cTBeY4HoFZN5YU812c7mFuWUzVC7pfI4UkMNs9/Fn7u/35egmicCSBYdVfXIHFLZdDFBh0g+P5w38iWyJGFZLAsHN5GDMaxpnvmhOdF8tux/T8EG7hE+2x0c/a380bbxEEYUcSmCVmnz2tFqvnz8Bl4wKYEJQhiUBKB17423mokkXc1dRgbhz3TP7FzAAAIABJREFUSSJ+9sXbkNJ1BGUJoihA0zl0g8MnCrirqQGvtHeafeXTAYVqO7fI119PPGX5r1eahSgciikIt/ByrsCrmJwYe0h55v5GQt950S8x9vDSH1JMQbiJqmqWdZ36oAxZHpnlwoxPrq/244t3XY3LxgcgCgxVsohdn7oRPlFATNXN9SJJYLh28jhsXTYHKY1DMzh+8oXbsO0XJ7CnrQNA2qczxuD3Ofv7UnVTqXpwMH0HVN4aFZEfWr8j3CSV0tHZlzR9cUO1Hz7f8J972vRRRjKpV3LzcOWmRMlXzy8NbGRorFOw85M34uzFpLXe0hZIEsPyHa+bZVtaw9i5/EYs2/HrQfttqPZjS2vYTIuSaVsflG35xXYuvxGxlG6p+/0VN+FCXLPkrtrSGsYHr27AA9sPmWVPLb8Bn73zakvbza1hjFMky/eTJYbNrWFbLixJhKXeltYw6vp3QGaoD8q2tltaw5YNMJmyKp9oKZs+ocp2Hza3hlHrUU7PkCIjfOVEyz3c3BpGSJGHbkwQWYQUGQuub8Typ14nWyJGLSFFxvlqBUu2jaxPpOeHcIsJAZ/je31CwDd0Y4IgAKRj/diE9HG+Ow68g0/cciW+tDed6uWupgZ8+o6ZWPvMEcsz5pcYln7n12addXdfg0hURUzVzTQxGX0AAK+0d+bVTUDh2s4tnPrbsKgZ3zv4jvnfcvZPuAfFFIRbeDlX4FVMTow9Qop9/m6k9J0X/RJjDy/9IcUUhFuoqobjXVGbT5xVHyz7xg/D4KhRBOxYfgN6oio+v+e3Fl33yA/+2xzTNz92PbYtC+Nzz/0GN15RiwXXN1rGvOnBOQCAg29HsHFxM7p6Ewj6Jez85I1Y9t3B18aKpVQ96NR+4+JmPPny8fQaVahqRPUmMXxo/Y5wi1RKx7HOPpsvvqahetgbPxjno/fImZaWFn748GGvhzEohsERiaqDpkTJVw+ApYyD4yObDtp2+z123/ux/KnXLWV7Vt0MnygM2a+mGeldRLoBSRTQUO1HdzyFhZsOWPrZ8dANWP/C7yxlP/nCbXiof2PJYONxattYp+AHa25BSjcsO5gMg+NcbGCHaY0i4P/Z89+2U0IeX9iM+hq/eb2u3iT+5bU/2nY6/2XTZJyPqZa2X/vrD4AxNnBfOcdX/s3ex6Mffj+m1CqF/DOXtIUv147PdMdM4ZB9v3avnIupdVWldEVcYhRhS67aMEG4iVd2TL6YcIsibWnYdjyUL77ikZeGe2miQjn5xD1eD8GJssUU56MJqFr6hI7sZ2rr0jAee7F9UE2ydWkYcv/pOk66ZM+qm8E5H1Q3AYVrO7fI7o8xBpEBOgdEBgiCUPb+L2EopiAqEi/1Hdkx4SaJhIZIfGDuL6TICNh/eOWqHf+5Jw7d0CAw0ezX4DpEQSp07o8gAHir78gXE27hZUzR1ZvE785cwIz6IB74l/8aUtc98ZEPoPU7v8arn7/V3PCU/fdnV8xF+7sXsWX/CXT1JfHYfe/HNZfVQCpgbaxYStWD2e19kgBJYIir+dcDSe+5BvlioiIphy++pE/6GIlJO0Fgls0JxdbLLjvTHXPMFZXJY51dltKNgkSLJAm2ek75xZxyignMOT9a7njy5SNL6YajE5zqHzDLM90xvNLeaTlyGQC+eq81RYuq6dj6y5O2fN13XHsZVj3dZin7yj06Lg8Fzc+nIlHHPr5yj2Eb20hAOcEItyBbIsYClPOZGO2QLRGEO/QmdNy2cT92r5xreaZqFd+QmqQ265TAfLmjC5mcKVTbucVI90eUB3oPEG7hpS2RHRNuEghImDrCp+umdAO3bXzNVv7auvkjOg5i9EO+mBgLeGlLqqajShbx7oVEQbrO1795XxRY3jWm7PWfKllESjcwuQwb+krVZ47tg9aPpP8qH/LFhFuUw5Yu2WTihsFx/GwvFm46gHkbfo6Fmw7g+NleGBX8YGbyfmXTWKcgpuq2slLyRzn1k8kplo3BUdB4nNoWmo8s33fObVvUvRGtZu8TBce2ufVGikxOO9t4aFcnUSRkS8RYwCs7pueHcAuyJYIoHaP/F7mZnMfZz1TuZ8CuA3riKcRUvSRdQhDDhd4DhFt4aUtkx8Rop9Lm/ojRC/liYizgpS35JMFRm+XTdT3xFABAN7jj3/Ws9byMDiTfTpQT8sWEW5TDli5Z7xeJqmZ+LCC9e2bFzsOIRFWPR5afTN6vjBE01inYvrQFjRMUS9nm1jAaqoe/I9Cpn+kTqrClNWwpkyWGzTllW1rDmJYznsYJ/ePMHneB+cgcv7ND23z3JncsWxzuTUO13/bdnOqNFLWKaLuvm1vDqFVoMpoojkzO2lxbovxyxGiiVhHy+MTyhjBe9UuMPeqDzr64nvKyEkTBRKIqjpyKYHNrGHvbTmPDombzmdrbdhqbHpxjeca2LrVqkr1tp9E4QcGEoA8bFzcPS5cQxHChmJxwi/F55grGj8BcAcXGxGin0ub+iNGLl/6QfDHhFl7OU0gCw+TxfkwI+vCN+68bVNdtfnAO9radBgA8f/hPjmN+/vCfzM8bFzdj2gSFfDtRVsgXE27RUO13tKVSfBjj3JuTLRhjIoDDAM5wzhcwxq4E8ByAEIA2AEs554PuwBgqd/lgnOmOYd6Gn9vKD3zp9orOu+SUkkbXDXT2Jc2clA3Vfvh8pYn+QvvhnKMrOpCHsz4ogzFmqyeKwrBT6RSahsepnmHw9Fh0A5IooKHaD0myO19NMwqqlwfXcz6ndB0+cSDPaOZzJdsmUZl4kSuXINzkTHcMtYqAnrhh2nHmcznzjJ7pjmGcIuBiVr+Zz+SLiWJRVc0WL8my45HWruYZzeaKR14a7qWJCuXkE/d4PQQnyhJTZLTbkx95P+bNrAdjAOeAwTkExuCTGFIah25wSKJg1SS6AVFgUGQBqpbWvprBYXCOgE/ExKCf8iQTubhuxwXG5AQxKGe6Yzh9PoppE4KmLWU+lzMuzvRdYExOEG7huh2XOPdHEACK9oeu6juapyDcpMB5irLEFJ/+/hvYsPgDGBfwQTfSOk4QGAKSgKRmpHWdwCBJAjQ9rd0YgIBPQCKVtn9fv+7rjqeQSOkQBAZZFDChSibfTuTiui8erwi4kOWLM5/JFxPFkkrphazvF2zDXs4yfA7AmwDG9X/eAOAbnPPnGGNbAHwKwOZydZ5JB5KdL2c0HO3rlPdLEArbDFDo5ol8/ei6vZ4sS5jqsGiROx6ntDlO4wHgOMbh5jKTJAFTCsjfVmi9kUCWRCzZdshmm/vWzvNwVARBEN4gSyL+dD6GccrAe+BP5+OYWFPeIFqWRHTk9NsxAv0SY5N88RJBEIWR0W4P/+B3uD/ciLW3zwBjDKLA4BMFiAyIGwZ8/Qs4gsBwLpqEZmQ2fIioVQrfdE4QbhMISJhKmzyIEpElEeMVqx2NV6QRmcfyKiYnCDeppLk/YvTipT+keQrCTbyap5AlEV19Sdz1jV/ii385E/fNaQRHekXT6P+B+mU1fvQkNSRSOkTGUDWInmso8cfPBFEssiTidI4vPk2+mBgmPp+7P/b3ZNaBMdYI4B4AjwP4AmOMAbgDwAP9Vb4H4FGUcdNHJh1IJsXLWD/a1zA4jp/ttX3fWZNqCpr8TKV0HOvsw5pdbWb7za1hXNNQPeSpIk597/zkjUhqhm08fknAsu/+uugxlvr9KolLzTaJ8pFIaHgrErU9tzNDQfplITFqqPGJeI8L5ma4jB3XlFnUedUvQRAEYScTH//bkdNYcH0jWr8zoBc2Lm7GxGoZ2197BwffjuCp5TcgpXGsePqwpc6kcQFcEQqOOm1AEASRwcv4lGJjgiCINOSLCaI0Mtruv050IXzlRDywfcCeNz04B0dORhC+cqJlPpv0HFFJkC8mKhmvzjn6RwAPAzD6P4cA9HDOtf7PHQCmlnMAgsAwa1IN9q2dhwNfuh371s4blRsECiUSVc1NBADQ0R3Hip2HEYkOmkHHpLMvab5oM+3X7GpDZ19yWH2fisQcx3MqEhvWGEv9fpXEpWabRPmIxFXH5zYSH33PBXHp4pUd0/NDEARROWTi42W3XGnzzeueP4qO7gRW3HoVOrrjOH0+bm74yK5zKhIbldqAIAgig5fxKcXGBEEQacgXE0RpZLTdh9432WbPa585gjua7OWk54hKgnwxUcmM+E+9GWMLAHRyztsYY/OH0X4lgJUAcPnll5c0llLShlQ6ualTVE23pAsB0s7IMAx09SZt6VRy2zMGx/aawR3bZ+PUd5Usor7aj/ULmlCr+NATT2HL/hOorfJh69KwpSzfGHP7uOWqEFbcehVEgUE3OLa/9nZBbb1gKDvWNB2qpkMzOKDp0DTdKaceQQyKZnB89vYZuGVmPXSDQxQYDr7VlbarEinEFxeYG5IgBsUrO9YMjk0PXI9QdcC04UhfwpV+CcIt3IyLCcIrCrVjQWBgDNi4uBnT6hSIYjq/s6oZqPILMAzgZ1+8DT5RwC1XhbCnrcNs29EdR5Wc1kTFUkyKzFIZyb4IdxnKjhMJDZH4QFwcUmQ6eY8oGs3gWBJuxH1zGmFwDoExvHCkY0T0HcXGxGiAYmNiJCinPyRfTIwFCvHFgsDgExl2PHQDqgMiGBg0nUPnHJKQ1nxPvnwcb5zuAVCanqsE3NJ5pBdHBvLFxGjGi1mGeQA+zBj7HwACAMYB+CaAWsaY1H/aRyOAM06NOefbAGwDgJaWFnqKHHBKdfL9v7kJjXWKZfPFXU0NOBdVserpgaOyti9rwcz6arzV1Wdpv7U1jLuaGvBKe6fZvrFOgSQwLNx0YNCUKpkc3Nl9C4zh4btn9f8yz3o082eefcMs++cHZjuOMbePoF9E683Tsfyp1weOVHpwDnqTGh7a8fqgbb1gMDtWVQ3Hu+wpOWbVB2nBnCiK8YqIa6fW4mM5R42NV0o/amwoX0x2TLiFV3Y8ISjiYkK0HdU3IUhH9RGVA8XFxFigUDs2DI6YqqNKFhGJqoipOtY9fxT11X6brtj04BwAMDd+NNYpiKnpibFiGMkUkmMpXeWlyGB2TCkXCbeoCYiYf+0kyzHom1vDqAmUX99RbEyMBig2JkaCcvpD8sXEWKAQX6xpBs72qnjxNx1Y1DINkT7Voue++bHr8dUPN+HvftiON073DFvPVQJu6TzSiyMH+WJiNDPi6V045/+Lc97IOb8CwMcA/Ixz/iCAnwNY3F/tEwBeGOmxjRWcUp187aV2bF0aRmOdAiA98fmVe5rMzRSZeit2HkZnX9LWftWuNnz5niZL+82tYbz6+3eHTKmSydOW3fay8QHzRZ5pu+75ozjTk7CUnY+mHMeY20dMNbD2mSPWI5WeOYLT5+OjLuVLV9T5eKiuCh83UXlEk4ajLUWTxhAtS4fsmHALr+z4Yty534vx8j8/BEEQhJ1IVMXp82l9cD6aMrXE6vkzbLpi7TNHsPK2GQBgbi6fHqpCKCgX3edIpZAcS+kqCSt0/C/hFnHVOT6Nq+WPTyk2JgiCSOOlPyRfTIwVOvuSWLOrDYtbLseZ7oRNz33uud+gO5rC6vkzStJzlYBbOo/0YuVAvpioZCrpZyVfAvAcY+xrAN4A8B2PxzNqcUqn8kp7Jx677/3Yt3bekClfNN1wLBcFht0r55pHFimygHtfPGarl3vMViZPWyF95+5JrJJFx3q5faTyjLlKFm1llX4MmGbwvKl0CKIYvLQlsmPCLbyyJbJhgiCIykLVdEtsn/HRtYrP0V/7RIbXHr4dIgMUWUStUvzRt/k0Szn0xEj2RYwsFFMQbkH6jiAIwnvIFxNE6WTWckSB5V3/qZJFXDU+iN0r5w5bz1UCbuk80ouVA/liopLxdNMH53w/gP39//82gBu9HM9YQZZE3NXUgEXhaahVfOiJp7C37TR8kgA9a7OZIjvXk0TBlo6lsU6BXxJRX+M3y7p6k471FFlEV2/SkltM1w2omp52fJqO6oCIRxdcgzuaJpu5aH/W/i5iqvUlFVN1xzEGZAF/7okjpRvwiQIUnz2FTGOdAoExbF0atrR1Gl8lBQySwLBzeRgzGsaZG2xOdF6EVEFjJEYHksDwy4dvhcBE05YMrkNg5bclsmPCLbyyY0lg+O1X70RfwjD7rQ4I6EvQrm2CIAgvkCXRohUa6xTUV/sxISjj+dU3QxSA8Ur6l1+iwKBIAuKaATAGw+A415dASufgAGQxfeClqhswDA5RYJAEBkEQLNrAKU1lY50CWRIt+ZR9kgBJYIirw9cXg/VFjG4kgTlqX4qLiWKRBIZff/l2pDSY8alPAlLayPT9sy98EH6fz+w7mUqRHRPDIpHQEImrpi2FFJnSXRGjBi/nCmieghgr+PrXn/T+FJ4Zbbd6/gxMGR+AIksQWNrmJ49XIAgsnRLmYgKqbkAUGGSRgfO0phMYg09kSOkcBufw+0RMDPrzarJsLZet3/KVl4JbOo/0YuVAcTHhJm7HxRRRj0HqFB8+e+fVWJ2VM3hLaxg9sRSWfffXAzm/lrbg4buvwUM7XrfUm1jlw5bWsK19neKz9JNJ25KdR2znJ2/E2YtJS9mzK25CT1yz5DDesfwG3HDVRFsu2knjZPPl1Vin4JrJ1fjMnVfb2r53IWmmfWmsU7C1NYynlt9g+S5PLb8BiZSBx/a0D34fKiz3WUiRcb5aseUECymj7/gywltCityfP/x1iy3NDCkj0jfZMeEGXtnxQL9tOf0Gy9ovQRAE4UwoKGN6qAq9iRQA4J8fmI2YqmP5U6+jvtqPh++ehc88OxDjb1zcjCdfPo6uviQ2PTgH4xQJf//Sm+jqVfG1v34fLiY0S97oDYua8b2D7+DzH5plagMnvbN9WQvqFJ8tn3J2f8PRF/n6Go1HGBNWQoqM8JV27UtxMVEsXsanIUXGW7EUlu2w2vGUcWTHRHEkElpeO6aNH8RowHNfTPMUxBigodqPLa1hPH/4T1jUMs3UdjsOvINP3HIl1jxzxKKJ/q+JQRzv7LOsV21c3IxxAQlf+bffo75GxqfvmIm1Oe2cNJlhcJuW276sBTPrq/FWV5+tvNR1I7d0HunFyoHiYsItyhEXM85H75EzLS0t/PDhw14Po+Lo6k1i4aYDtl1/j933fix/6vUhy/asuhmP/vB3ttM1Hl/YbDnpA7DviuTg+Mimg5a+f/KF2/DQjl9bynY8dAPWv/A72xh3r5xrpn+RJREp3cD9W39VUNt/XX0zOAc03YAkpn9t95HNBwu6D/vWzrN9tyIoabdIrh2f6Y6ZC+XZY9y9ci6m1lWV0hVxiVGELblqw0X2TRCD4pUdkw0THjFsOx4qLr7ikZeGe2miQjn5xD1eD8EJ12OKbAyDoyeuIqUZ0A2O+/v99NalYTz2YrvNZ69f0IRVT7f1bwi/ESe6+gCkT/pw0hPrFzThsRfbLdrA6ddekajqqLey+xuOvijHL8uIYUExBVGRkL4jxgJe2jFBuEGR/tBVfUe+mPCAsvliTTPQ2ZeEJACantZ2GT3mZONOtv/Yfe+H2n+0vVM7J02Wb+1sz6qbbetQLqwbAXBP55FeHDbki4mKpBxxMW2h9oDMCy2TmqSh2g9JEmz1CnXiufXy5ffKzoE9WJmmG3ilvROvtHda/vbVe+35wQSBWV56Z7pjtr4FBltZvlxtmsGRvR9O68/vVkjblGbg8qydzU5jyfedKyn3GeUEI9yC8owSYwGvbIlsmCAIojLRDI6kboDzAY1Rq/gcfXZt/0mFHd1xCAzm50yZU/1cbZCrd4D8+ZSz+xuOvnDqixj9UExBuAXpO2IsQLZEjHbIFxOEO0iSgMvGBdATV5HQNIseyyZj4/nWeaogmp9z/+6kyfJpOad1KLfWjdzSeaQXKwPyxYRblMOW7DsNiLKiaQaOne3F/Vt/hds27sf9W3+FY2d7oWnW3HuZY6YWbjqAeRt+joWbDuD42V4YOf/YTvV0g6OxznrsfWOdYsmBPViZ1J9TLbe8kPxgPsne1uCwlWVytdn6Fpjlu2TKC2orWs05k+cst57Td66k3GeSwPLeG4IoBi9tieyYcAuvbIlsmCAIorLI6J6PbDqIW5/cj3cvJEw/3RNPOfrsnnjK/H+Dp+v1xFN59UTmOkNpg3w6I7u/StIXhLdQTEG4Bek7YixAtkSMdsgXE4Q7GAbHyUgUXb0JAFY9lk1jnQKBOdt+TNVNjVfoelY+LVfKmhhxaUG+mHCLctgSbfoYYTr7kmbuMSC9a2f1rjZ09iUt9SJR1czPlam3YudhRKLqkPW+9lI7ti4Nm8bSWKdg69IwJgR9lrJv3H8dpk1QLGXbl7WgodqP7ctabOWF5AeTBIaNi5stbQEDm1ut42mcoNjGuLk1jFd//67tu2x6cI6l3oSgz9Z2S2sYDdXWXY6ZPGe532N6qGpY322kqA4Itvu1uTWM6gA9rkRxhBTZ0ZZGIn842THhFrWKsy3VKuW1Ja/6JQiCIJzJ1T2cc1N3bNl/wqZBNi5uxpb9J9BYp2DTg3MgicDettPYsv8EGmpkW/0Ni5qxt+10QdrASWdk91dp+oLwFkV2jikUmWIKoji8jE/H5+l7PMXGRJF4OU9BEG7gpS+meQpiLBGJqjgViUEURJy9kMTGxWk9tmGRXdf925EOm+1vXNyMhhoZW/afwN6207Y1pHyaLN+aUSlrYsSlBcXFhFuUIy5mnI/eI2dGY37GU5Eobtu431b+2rr5ttQk8zb83FbvwJdut+TyyVfvv/7XHRAEwUz5ktJ1/O0zb2D1/BmoVXzoiaewZf8JbHpwNjgYNN2AlJVqptAUNLmc6Y7h09+39/Odh8KIqwY0g0MSmLlBo7MvaZYpsoA5j/3Uds1///Q8/PlCoqBx5+KUIgeA27nPXM1tdyoSxR/eu4imKePNe9P+5wu4+rJxmJ5lIwRRCImEhkhcNW0ppMgIBGyZvVzPz0h2TLjFqUgUnBvwiaJpSyldB2NCri257ovHKyKiyYF3V9Av4EJcJxsmikZVNXRFB3xxfVCGLDtmWXQ1z2g2Vzzy0nAvTVQoJ5+4x+shOFG2nM+5umf3yrl44kfHsHr+DMxsqMaFuIrx/cJYYIBPZNAMQGAMAZ8AzjlSOgcHIPefEKjqBgyDQxQYJIFBEATUKT5cTKYQV3XonCMgiZBEhrhq1Q7ZOsMnCZAEex1i1OJ6TPHDN87gvjmN4JyDMYYXjnTgw7OnUkxBFMWpSBQBKe3bMjGFJAAJjZc1Ls70nUxpCPp9Zt/RZAp+n0R2TBSNV/MUBOEGRc4VuKrvaJ6C8ICy6ruO7jjqa/zo6k2a2m7K+AACPhF9SQ0Tq/347LNv4I3TPbg/3Ii1t88AYwyiwCCLDJynNZ3AGHwiQ0rnMDjg9wmYGPRbNFkqpZtrUQFJAGMMKd3Iq/FI140pXPfFFBcTbuF2XOw420yUD1//MVHZeXoGS02SWy/3OKl89QRBsOT3+nNPHF19Sax6us1ST9U5HvyXQ+jojpu7F2fWV+Otrj7zl3SZ8lmTaoZ8ycmS6NiPbjDLZpUM2WWdvQnH73KuT7Vdj4NhSq312Bsn8uU5q+TcZ5LA8Hcvvmm7D7tXzvVwVMRoJRCQMNX+kig7ZMeEW0gCw5Jtr4+4LUkCw4J/Okg2TJSMqmo43hXFmv6T3jK7tmfVB/Nt/CAIwoFc3dMTT5m6Y+vSMB57sd3ms9cvaMJjL7Zj39p5aBgXGLKPzBHDZy8msO75o+Yz+437r8Pf/8cxdPUlLbrIpilofodwQBIYdrd14Os/ecssa6xT8JFwo4ejIkYjksCwaMshT+JTSWB48HttFBsTruDVPAVBuIGXcwU0T0GMJWRJREzVYXAgpuqOa0pPLb8RXf0n5O9p68Cetg401inYt3ZeUes7qZSOY519tnmZaxqq4fMNrLflW0siiGwoLibcxO24mM6bGWEaqv3Y0jr81CS5x0kVWi9fv4+/1G5LIdPZlywotYwThY7HCafUMJtbw5haF7CUbXpwDqrG8FG44/IcDzWOjociRhETq5yPpppYRUfiEcXh1ZHodOww4RZdUdWcWADScdWaXW3oKiCuIghigFydsbfttKlvnNK7FJOuJUPmiOHMhg8g/cx+fs9vsXr+jKJ0EUFkoJiCcAsvUwXRPAVBEEQaL/0h+WJiLBEKypgeqoJu6GisC9j03Dfuvw4+EfjHJdeXnHKlsy/pOC/T2b+hhCCKgXwxUcnQtuoRRpIEXDOpBntW3TxoahJBYJg1qQb71s4b9DipQus59Ssy4JX2Tku9ju44NN2w7FLLlKuaPuT3K3Q8TsRVHU++fBzrFzSZqVzAOf7ltZPY8dANEAUG3eDY/trb+NxfzkSt/eCQMcH5qA5u6Ni9cq55pE+kL4HzUR01Q/9AkSAqAr9fwtUTgxY7nlglw++n1w5RHL0JHfvfPIvvr5hrOxJ9Qhl/UR0ISJgZstpwnuPVCGJQNIM7xlWaMXpTLBKEF2R0xg/W3oJEyoDIgIAk4NkVc2FwDr8kYE+/z86ka3l8YXNRR/Kqmo4qWXR8ZmsVn/n/hegigshAMQXhFl7FxQDNUxAEQWTw0h+SLybGEoLAcEUoiJ64CsPgGBfw4bmVc830mwbn+Kef/hFvdfZh/YImXHtZDRRZGlbKFZqXIdyEfDFRydAsg4sUmvNLkoSCUpOUgqYZ6OxLIqUb8GVtLMnut6s3ibuaGrAoPM3cZLG37TSkPCloFFlEV2/StZxmuWMM+u2pYXY8dAMOvh3BnrYOy1jWSdfYrlfo/a/03GySwNATUxGqHnhD5H4miEJRVQ1d0YGcYPVBecTSCfj9EqbSJg+iRCSB4Z7mSRAZoHFAZMA9zZMgVZDfJojBkASGf/pYM2ZPD0Hvn7x441SEbJgghgkDg8jSaTNVg8Pg6eeKA+hNptCb0DGlVkF9TQCGwXH2YgKqbvQ6d3c6AAAgAElEQVTnfRbAOYcgCKhTfOiOpyyaIHPEsJMW6omnzP/PTblJEAQxEkgCQ18yhWRK7/9RjIG+ZGpEYgpJYKj2W31ftV+keIYgiEsOL/0hzRkTbpJMajgXUz3/sZ7AgLhmmOOokkVEoioExrB83pUIBiQIjMMnCEhpOjp6Ygj4REwM+m1rOtnrPoosQjM4UpoBSWC4q6nB8gPoxjqF4hhiWEgCg0+02o5PZGRPxLDIt5Y/XGg1ziUMg+P42V4zLUrmqKlMvudyXc+p3rMrbsKFuIbVWTnKtrSGcc2kGoux1Ck+fPbOq2316vuPTs6+5s5P3oizF5PDGo9TPU0zcOxsr63vZ1fchI9v/y+zbHqoyjYWpyO8Srlfpfw7lYOQIuN8tYIl2w5ZcszR8b9EsaiqhuNdUVu+wln1wRHb+EEQpRJSZLwVS2HZDqtPnDKuvD4xkdDwVsT+/MwMBemXuURRhBQZV9SPw8fovU4QJZEdx9dX+/H/3tuEzzz7hvlcbVzcjIk1fvzqj2exu60DOz95I+KqjlVZfnzj4mYosohNP/8jPnvn1fjWT/+AV9o7TU0ws74a00NV2Li42Uzxkjla+O//49iwjxMmLm0opiDcIqTIWHB9I5Y/9fqIxxRexeQEQRCVhpf+kOaMCbdIJjX84Zw9Pr16YnDENn4YBseZnhi6YymsfeaIOY7vPtSC3oSG/7n7N2bZtx+YjZRm4PN7fpt3TSdXLz589yyLptvcGgYAU/9tbg2jodo/It+VGFuEFBnnYynyxUTJ5Fsnz13LLwZKMuQSkahqbiQAUHK+50Kv51QvqXHTSDJlqx1ylHXHU471ehKamaLlwJdux76181AdkIY9Hqd6nX1Jx75FQbD0e0UoaBuL0waNUu5XpeXljsRVxxxzkXjljJEYHXRFnW2pq4LsnSCGwiufSL6YcAuyJYJwh+w4fvX8GeaGDyD9XK17/ig6zsdx35xGdHTHcSoSMzd8ZNfpjqawKDwNq3e1YVF4mvm3FTsPozueSuuPy2qwe+VcvPbw7fjBmlswo6Ea335gdl4tQhCDQe8Bwi28tCWyY4IgiDTki4mxwLmYsy2di42cLUWiKpIaNzd8ZMZxpjthbvjIlHVHU+aGj0xZ7ppOrl7MbPjI/n5fvfd9+MW6+di9ci6uaaiGz0cnOBLFQ76YcIt86+S5a/nFQD8rcQlV0x3zghWa7zk35YhhGKiv9mP9giYz9cqW/Sds13PqV2BwzlGmGwWP2TA4Unr6WC2mGzC4c96zpKbjTHfMPH5LkYWC7kNKN/KO0Sn1TX3N4LsuC73/pf47jQSUY45wC7IlYizglR3T80O4BdkSQbhDdhzfUON3fK6qZBHgHLtXzsXEPHUuD1WBAVi/oAlTxgcsf1M1HYLAMCHoB4I5A8j9TBAFQu8Bwi28tCWyY2IskEhoiMQHUhmEFJlOXCKKhnwxMRaoBFtSNR1+iVnWv/7w7kVcOTFoG1uVLDqON65q+HOPAVlkUDUD//Tx2ejsTebViwAwPUTCjiiNSnh+iLHBYOvkw4VO+nAJWRLRWGfdrFBovufM0VMLNx3AvA0/x8JNB3AuquLRDzfhsRfbsWTbITz2YjsevnsWFNl6Pad+GYPjWHyi9Z/bJwl56x0724v7t/4Kt23cj/u3/gq6wR3r6gbHkm2HcNvG/Viy7RDO9CTx6IJrhrwPPtG5b0kcnknm/S45R+CU8u80UkgCc7439ItCokjIloixgFd27M/zXvGXkFOPuDQhX0wQ7pCJ42dPq8WEoOz4XMVUHRzA3rYOMDhroj9FYrjj67/AYy+2w+DA7Gm15t8qSRMQY4d82jdXnxPEUPjyxBS+EYgpKJ4hRjuZVFvZc5hvRaJIJDSvh0aMMrz0h16+B4ixRSW81xVZxIW4Zq5/7W07jfnXTsI756K2scVU3XG8b76XXsP684UE/u7ff4+Fmw7isRfbMV7xVfwaEDF6IV9MuIXb6+QAbfpwjVBQxvZlLeY/UDH5np1Sjqx6ug3noynbccS5u8Wc+g34RGxc3Gwp27i4GbLP6nQkgTnW49yeHubxl9qxpTVsqbu1NYzHX2q3HWP0ofdNHvI+NFT7bdfbUkIetXzfJTdQKeXfaaRQZAGbc+7N5tYwFJkeV6I46oOyoy3VV5C9E8RQeOUTGeD4XqHwnSiWkOLsiynXJ0EURyaO/+ydM9F5MYlv3H+dzUdPqQ3g8ZfaseLWq/DEj97EhkVWP77pwTn41k/fApDWLn/7/SNYPX9GRWoCYuwgMeeYQqKggigSWRKw6cE5Nr8mj8CmZJqnIEY7dBQ74RbjFGd/OE4pvz/08j1AjC0mVjnPU0ysGjk9pBnWNahF4WlYs6sN3/rpWzYdVxf02fTfhkXN2LL/BDq641j7zBFL6s4nfvSm7VkhvUe4Bfliwi3cXicHKL2LawgCw6xJNdi3dp6ZoiUUlAvK95wv5UhVzqkeHd1xpDTrsS5O/aqajidfPm45GuvJl4/j2w/MthxLHFed6/3jx663jeeV9k6sX9BkqVsb9OGV9k7bGDWDD3kfJEnANZNqsGfVzdB0A5IooKHaD2mYjjHfd8n9zqX8O40UvQkd+988i++vmAvOORhjeOFIBz48eyom0OljRBHIsoRZ9UHsXjnXPL60PihDlsn1E6MHr3xiQjPyviMJohgCAQkzQ1ZfTEdJE0TxZOL4oF/Euz0JPPGjY3jiIx/AZeMDEBnDexcTUDUDr7R34pG/uhavtHeiq1e1+HEG4I3TPeY1O7r/D3v3Hx9XWef9/33Nr2TyAxJCWrUpglirlS1Cilvp7voDl6+7oiyC6Epb4PamQFdxf9yKuysr+8W9vyDusrfrDZTeCvJjV1iwN64o4q0g96KstqDIFrsoyrYobQippEmaycy5vn9kZpLJTJKZ5Jxc55x5PR+PebSZzMz5zORzfc51zrnmusa0almH7tyyXi8/MhuqYwLExxh9CvhkJFfQ7d97VjdfcIqSCaOCZ7X94Wf0R297tY4OeNucp0DUMRU7/PLiSEEjh3MVx3d7XxzR0EhKna3zP38xXO4HEC8tLSm95ujK8xRHt2XU0rJ05ykm8pXLGnRl09o3NKZ9Q2P6zDem+s7LOlv0p3f9SJL0pS3rVfCsfvL8sD7zjT3lY7t9Q2PqyqbLr/XA7gP6xBlrdNeW9bJSKK8BIbqoxfCL39fJJQZ9+CqRMOrtbHwETmmq4uk7udL0xNPVOwVVOpXQwKFxXXzbrornplMJDQyPlwc7zPa40vReM+OZKFQeCHmeaj4ulTDK5QuTB075ggoFT1JCgyO5ioEWqVRCr+iqnLomn/d04NC4Jgqe0sUEl1R1n+d5GhiZWoezo7X2e+loTeq5odHy45Z1tMgYo4mCp7xnZQqePM+GaoefShj9+Je/1mtefkT5pOCPf/lrvae/z3VoiKBMJqUVDPJAhLmqiamEUW9n5TcAejszTGGNBWltTWkFgzyABfM8q4FD4zo8UVA6YTSaK2jg0Lg2fv775cf0dWd1xRlryktQ9nVn9fjeg+Xjg77urK4684SK1+3rzurZwVGduPLIqmOV0vGB59lZfwfUgz4F/JJKGH33mUHdtWtf+b6+7qw+8vZVS7JtzlPALxMTBR04NF5xri6dDnbK/VTC6PQ1y3R2/8pyDt+zay+1GA1LJxM6Mlt5bHdkNrWoqdjrlUoYHRzL6ZkXRsp5fHAsRx5jQVpaUlqxhIM8ppuYKMiYymtQB8cmyj+XjuNKx3iP7z2ovu6skgkjI+mqr+6uuiZ1cGyi4uefHRjRCSuOVG9nS13HdBz3oV7UYvgpn/dkrZWVZK1VPu8x6CPqurNp3bixvzydVWkKlyOzqfKObrYpqDzPas/+4fLyMH3dWd36X96o7ZvXVdy3ffM6HTqc1+YvfH/ex5WWhLh0WjylaTtLO9S+7qz++ZL1NR+XThm95/rvle+7+cJTlM9bXXRb5XZWL++s2HHm855+sn+44nO45cJTND7h6eIZ9x2e8Coed8PGfv3zJev13hsfrYjvP188XBHfjRv71ZpO6IKbf1Bx32uXdy6qIfmpJ5vRh097TdXnyjTwAJqRq5pILQaAcPA8qz3Pv6SLbtul3o4WXfnuNVrWmdG156zVR+9+olyj//a9J+rz//qMrj1nrbY//EzN37emExXHV6UlN/a/NF51TLR6eackVR1r1TqOAeZCnwJ+KS0Z5yKXyGP4ZWKioJ8cOFSVS69d1hHowA9yGH45qjWtwZGc3nfToxW5dFRrev4nLxJ5jDiYmCjo2aFRjYznK47Z7tm1t6qfc+05a/Xp+/eU/3/o8ITu//HzVcd61593sj737cllPEuPXX5Eq3raMzWvn808pqvnMUAJtRh+OXw4r6cHR6pyaVVP+4JniDbWRncau3Xr1tmdO3e6DmPRBobH9Zc7nqgabf6ps35DRmbO0YUDw+M66/pHqkY2fuVDG1TwVH5uMiG9+3PzP66nPaPBkZz+18M/1TnrjilPT3T3zv/U+uN7deEtP6h4/i0XnqJMKlme3vPbu3+lVx7dWfG4my84RVfc+2TVtnds3VAxM8ovD47p3G3fq3hcrefO9np3bllfXt6m9G+pAz79cVedeULV+7jr4jdVzTrSgEXt+Wfm8XNDozXjvnPLeq3oblvMpoDZ+JrDgJ8aqInUYsTBgvN4vlp87MfvW+hLI6R+cfU7XYdQi+99iunHO9s29euqr+5Wb0eL/updr9PRHa3y7OS3hIcPTyiTSmrwUE6etfKsVcGz6mxNq7s9o1+P5nR4wlNvZ0YFT2pJJ9SWSSrvWb3n+u/WPFaRVPNYa+ZxDGKHPgVC6bmhUf3swEs6ftkR5RkSSj8H2S8ubZs8hh9cHd/VOufow/lANKEG66Gvx3fUYjgQSJ/iP/Yf0hX3PqnejhZd8pbj1ZVNazRX0Ikrj9DB0bwSCaN0wsizVi+OTKgtk9TH7n5CA4fGdfMFp+hjdz+hy05bpVcv61AyYZRJGuUKk8d/CSNlM0l1ZSevpc12/Wz6MV09j0GkUYsRSkH0i5npIwRy+YIe2H1AD+w+UHH/J9/lVRWJmdNMeV7l2mfS5BpmY7lCxXOfGxqt+TjPs5oo2IqlTnL5grb9319o2//9RcXj3/a6l1U9f/DQ5Mjm6e7csr7i57ZMcpZtexXLzUhWp76qRxf9zqvKg00kq96Olor1j4/uyFQ9bvvDzyjvWa2YthN+dnCk5nbbMsmq+/IFT2GR96w+ecbrtOYVR5ZP5Oz+5a9ZZxRAU3JVE6nFABAOuXxB+4bGdNLKLr1mWYf+9r0n6uDYhP7p3/bqtDXLy+s8//mXn9THf++1Vccm0uTxyftuelQnrezS3517ol44NK6+7qyOaElr//Dh8mve+NDPJEmXvOV4jebySieMejtaKo4p9g2NycjqlwfHKpafTCQM0wGjJvoU8Eves9p8866q+7/z0bcsybbJY/gh71ld9tbjdeqqXhU8q2TC6LtPDwSeSxOF2udPw3Q+ENHgsh5SixEHec+WrxftGxrTt3bv10W/8yr1dhqN5Tzd+NDPKpaykyaP5x7fe1CSlEwYPb73oC685Qd65PK3allHiw4cGi8fm/W2ZzR0eEL7Do4qaczkUovFY7qTVnbpz05/jV52ZKvG8wW9ODKurmymfMw53eQ1trwGhuXLsV0+71XEuayjJTQzz6Mx1GL4JYh+MYM+QiCTSlasXyZ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\n",
      "text/plain": [
       "<Figure size 2160x2160 with 156 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.pairplot(beauty_df_mdl1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "* Target variable is semi-normally distributed, which is good, no transformation feels necessary.\n",
    "* many of the binary variables have some correlation with the target variable, we can expect those to contribute to the model quality.\n",
    "* age is suspicious, will try to fit it as-is, but some bucketing might help.\n",
    "* didevaluation and students seem very long-tailed, log-transformation might be useful. I'm not sure how didevaluation matches a non-binary value here, some clarification is needed."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [],
   "source": [
    "beauty_df_mdl1 = beauty_df_mdl1.assign(\n",
    "    didevaluation=lambda x: np.log(x.didevaluation),\n",
    "    students=lambda x: np.log(x.students),\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>count</th>\n",
       "      <th>mean</th>\n",
       "      <th>std</th>\n",
       "      <th>min</th>\n",
       "      <th>25%</th>\n",
       "      <th>50%</th>\n",
       "      <th>75%</th>\n",
       "      <th>max</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>courseevaluation</th>\n",
       "      <td>463.0</td>\n",
       "      <td>3.998272</td>\n",
       "      <td>0.554866</td>\n",
       "      <td>2.100000</td>\n",
       "      <td>3.600000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>4.400000</td>\n",
       "      <td>5.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>tenured</th>\n",
       "      <td>463.0</td>\n",
       "      <td>0.546436</td>\n",
       "      <td>0.498377</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>tenuretrack</th>\n",
       "      <td>463.0</td>\n",
       "      <td>0.779698</td>\n",
       "      <td>0.414899</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>minority</th>\n",
       "      <td>463.0</td>\n",
       "      <td>0.138229</td>\n",
       "      <td>0.345513</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>age</th>\n",
       "      <td>463.0</td>\n",
       "      <td>48.365011</td>\n",
       "      <td>9.802742</td>\n",
       "      <td>29.000000</td>\n",
       "      <td>42.000000</td>\n",
       "      <td>48.000000</td>\n",
       "      <td>57.000000</td>\n",
       "      <td>73.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>didevaluation</th>\n",
       "      <td>463.0</td>\n",
       "      <td>3.239825</td>\n",
       "      <td>0.770910</td>\n",
       "      <td>1.609438</td>\n",
       "      <td>2.708050</td>\n",
       "      <td>3.135494</td>\n",
       "      <td>3.688879</td>\n",
       "      <td>5.940171</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>female</th>\n",
       "      <td>463.0</td>\n",
       "      <td>0.421166</td>\n",
       "      <td>0.494280</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>formal</th>\n",
       "      <td>463.0</td>\n",
       "      <td>0.166307</td>\n",
       "      <td>0.372758</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>fulldept</th>\n",
       "      <td>463.0</td>\n",
       "      <td>0.894168</td>\n",
       "      <td>0.307955</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>nonenglish</th>\n",
       "      <td>463.0</td>\n",
       "      <td>0.060475</td>\n",
       "      <td>0.238623</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>students</th>\n",
       "      <td>463.0</td>\n",
       "      <td>3.566627</td>\n",
       "      <td>0.843802</td>\n",
       "      <td>2.079442</td>\n",
       "      <td>2.944439</td>\n",
       "      <td>3.367296</td>\n",
       "      <td>4.094345</td>\n",
       "      <td>6.364751</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>blkandwhite</th>\n",
       "      <td>463.0</td>\n",
       "      <td>0.168467</td>\n",
       "      <td>0.374685</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                  count       mean       std        min        25%        50%  \\\n",
       "courseevaluation  463.0   3.998272  0.554866   2.100000   3.600000   4.000000   \n",
       "tenured           463.0   0.546436  0.498377   0.000000   0.000000   1.000000   \n",
       "tenuretrack       463.0   0.779698  0.414899   0.000000   1.000000   1.000000   \n",
       "minority          463.0   0.138229  0.345513   0.000000   0.000000   0.000000   \n",
       "age               463.0  48.365011  9.802742  29.000000  42.000000  48.000000   \n",
       "didevaluation     463.0   3.239825  0.770910   1.609438   2.708050   3.135494   \n",
       "female            463.0   0.421166  0.494280   0.000000   0.000000   0.000000   \n",
       "formal            463.0   0.166307  0.372758   0.000000   0.000000   0.000000   \n",
       "fulldept          463.0   0.894168  0.307955   0.000000   1.000000   1.000000   \n",
       "nonenglish        463.0   0.060475  0.238623   0.000000   0.000000   0.000000   \n",
       "students          463.0   3.566627  0.843802   2.079442   2.944439   3.367296   \n",
       "blkandwhite       463.0   0.168467  0.374685   0.000000   0.000000   0.000000   \n",
       "\n",
       "                        75%        max  \n",
       "courseevaluation   4.400000   5.000000  \n",
       "tenured            1.000000   1.000000  \n",
       "tenuretrack        1.000000   1.000000  \n",
       "minority           0.000000   1.000000  \n",
       "age               57.000000  73.000000  \n",
       "didevaluation      3.688879   5.940171  \n",
       "female             1.000000   1.000000  \n",
       "formal             0.000000   1.000000  \n",
       "fulldept           1.000000   1.000000  \n",
       "nonenglish         0.000000   1.000000  \n",
       "students           4.094345   6.364751  \n",
       "blkandwhite        0.000000   1.000000  "
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "beauty_df_mdl1.describe().T"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table class=\"simpletable\">\n",
       "<caption>OLS Regression Results</caption>\n",
       "<tr>\n",
       "  <th>Dep. Variable:</th>    <td>courseevaluation</td> <th>  R-squared:         </th> <td>   0.184</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Model:</th>                   <td>OLS</td>       <th>  Adj. R-squared:    </th> <td>   0.164</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Method:</th>             <td>Least Squares</td>  <th>  F-statistic:       </th> <td>   9.249</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Date:</th>             <td>Sun, 08 Mar 2020</td> <th>  Prob (F-statistic):</th> <td>5.07e-15</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Time:</th>                 <td>12:12:29</td>     <th>  Log-Likelihood:    </th> <td> -336.66</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>No. Observations:</th>      <td>   463</td>      <th>  AIC:               </th> <td>   697.3</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Df Residuals:</th>          <td>   451</td>      <th>  BIC:               </th> <td>   747.0</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Df Model:</th>              <td>    11</td>      <th>                     </th>     <td> </td>   \n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Covariance Type:</th>      <td>nonrobust</td>    <th>                     </th>     <td> </td>   \n",
       "</tr>\n",
       "</table>\n",
       "<table class=\"simpletable\">\n",
       "<tr>\n",
       "        <td></td>           <th>coef</th>     <th>std err</th>      <th>t</th>      <th>P>|t|</th>  <th>[0.025</th>    <th>0.975]</th>  \n",
       "</tr>\n",
       "<tr>\n",
       "  <th>const</th>         <td>    4.6468</td> <td>    0.231</td> <td>   20.111</td> <td> 0.000</td> <td>    4.193</td> <td>    5.101</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>tenured</th>       <td>    0.0024</td> <td>    0.074</td> <td>    0.032</td> <td> 0.974</td> <td>   -0.144</td> <td>    0.149</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>tenuretrack</th>   <td>   -0.2064</td> <td>    0.082</td> <td>   -2.502</td> <td> 0.013</td> <td>   -0.368</td> <td>   -0.044</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>minority</th>      <td>   -0.0440</td> <td>    0.075</td> <td>   -0.589</td> <td> 0.556</td> <td>   -0.191</td> <td>    0.103</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>age</th>           <td>   -0.0087</td> <td>    0.003</td> <td>   -2.779</td> <td> 0.006</td> <td>   -0.015</td> <td>   -0.003</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>didevaluation</th> <td>    0.2982</td> <td>    0.103</td> <td>    2.906</td> <td> 0.004</td> <td>    0.097</td> <td>    0.500</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>female</th>        <td>   -0.2360</td> <td>    0.052</td> <td>   -4.497</td> <td> 0.000</td> <td>   -0.339</td> <td>   -0.133</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>formal</th>        <td>    0.1761</td> <td>    0.071</td> <td>    2.496</td> <td> 0.013</td> <td>    0.037</td> <td>    0.315</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>fulldept</th>      <td>    0.2296</td> <td>    0.083</td> <td>    2.768</td> <td> 0.006</td> <td>    0.067</td> <td>    0.393</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>nonenglish</th>    <td>   -0.4117</td> <td>    0.111</td> <td>   -3.722</td> <td> 0.000</td> <td>   -0.629</td> <td>   -0.194</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>students</th>      <td>   -0.3315</td> <td>    0.095</td> <td>   -3.501</td> <td> 0.001</td> <td>   -0.518</td> <td>   -0.145</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>blkandwhite</th>   <td>    0.2703</td> <td>    0.067</td> <td>    4.060</td> <td> 0.000</td> <td>    0.139</td> <td>    0.401</td>\n",
       "</tr>\n",
       "</table>\n",
       "<table class=\"simpletable\">\n",
       "<tr>\n",
       "  <th>Omnibus:</th>       <td>20.727</td> <th>  Durbin-Watson:     </th> <td>   1.542</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Prob(Omnibus):</th> <td> 0.000</td> <th>  Jarque-Bera (JB):  </th> <td>  22.282</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Skew:</th>          <td>-0.526</td> <th>  Prob(JB):          </th> <td>1.45e-05</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Kurtosis:</th>      <td> 3.219</td> <th>  Cond. No.          </th> <td>    506.</td>\n",
       "</tr>\n",
       "</table><br/><br/>Warnings:<br/>[1] Standard Errors assume that the covariance matrix of the errors is correctly specified."
      ],
      "text/plain": [
       "<class 'statsmodels.iolib.summary.Summary'>\n",
       "\"\"\"\n",
       "                            OLS Regression Results                            \n",
       "==============================================================================\n",
       "Dep. Variable:       courseevaluation   R-squared:                       0.184\n",
       "Model:                            OLS   Adj. R-squared:                  0.164\n",
       "Method:                 Least Squares   F-statistic:                     9.249\n",
       "Date:                Sun, 08 Mar 2020   Prob (F-statistic):           5.07e-15\n",
       "Time:                        12:12:29   Log-Likelihood:                -336.66\n",
       "No. Observations:                 463   AIC:                             697.3\n",
       "Df Residuals:                     451   BIC:                             747.0\n",
       "Df Model:                          11                                         \n",
       "Covariance Type:            nonrobust                                         \n",
       "=================================================================================\n",
       "                    coef    std err          t      P>|t|      [0.025      0.975]\n",
       "---------------------------------------------------------------------------------\n",
       "const             4.6468      0.231     20.111      0.000       4.193       5.101\n",
       "tenured           0.0024      0.074      0.032      0.974      -0.144       0.149\n",
       "tenuretrack      -0.2064      0.082     -2.502      0.013      -0.368      -0.044\n",
       "minority         -0.0440      0.075     -0.589      0.556      -0.191       0.103\n",
       "age              -0.0087      0.003     -2.779      0.006      -0.015      -0.003\n",
       "didevaluation     0.2982      0.103      2.906      0.004       0.097       0.500\n",
       "female           -0.2360      0.052     -4.497      0.000      -0.339      -0.133\n",
       "formal            0.1761      0.071      2.496      0.013       0.037       0.315\n",
       "fulldept          0.2296      0.083      2.768      0.006       0.067       0.393\n",
       "nonenglish       -0.4117      0.111     -3.722      0.000      -0.629      -0.194\n",
       "students         -0.3315      0.095     -3.501      0.001      -0.518      -0.145\n",
       "blkandwhite       0.2703      0.067      4.060      0.000       0.139       0.401\n",
       "==============================================================================\n",
       "Omnibus:                       20.727   Durbin-Watson:                   1.542\n",
       "Prob(Omnibus):                  0.000   Jarque-Bera (JB):               22.282\n",
       "Skew:                          -0.526   Prob(JB):                     1.45e-05\n",
       "Kurtosis:                       3.219   Cond. No.                         506.\n",
       "==============================================================================\n",
       "\n",
       "Warnings:\n",
       "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n",
       "\"\"\""
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mdl1 = sm.OLS(\n",
    "    exog=sm.add_constant(beauty_df_mdl1.drop(columns=['courseevaluation'])),\n",
    "    endog=beauty_df_mdl1.courseevaluation\n",
    ").fit()\n",
    "mdl1.summary()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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VJd1PGzcmHUuzZxss6egMlyRJkiRJubNtG8yfn4RJ8+bBG28k6+edlwmTxo6F3r3zW2czNdY5BI13FR2t66gpXUnNCY0MjJRrzlySJEmSJGXPoUOwYkUyI+myy+DYY+Haa+EPf4AxY+AXv4BNm5IOpp/8BKZNazfBUkNzjupbb2w+0dFmF7X2fWjenKPp05NupsrK5NFgSW3FziVJkiRJUtO8+mpmq9vChbBzZ5LEjBqV6U4aPhwKC/NdaYMa6gT6zGfgl79s+npbzVyS2pOGOpe65aMYSZIkSVIHsGcPLFmSCZReeCFZLymBT34yM4h7wIC8ltkcDZ2+NncuVFS8d/3Pf07ea2y7WUPvVT+29H2po7BzSZIkSZKUiBGeeCITJq1YAQcPJtvZJkzIdCeddVa7H8TdkIbmHDXkyFPZpK7MziVJkiRJ0ntt2VJ3EPfmzcn6BRfA3/xNEiaNGZOc9NbB1DfguqSk/tPXCgvf27kEDc9FkpRhuCRJkiRJXcmhQ7B6daY7ad26pJWnuBimTk3CpGnT4MQT811pveoLjKD+tdrzjMrLk9fNna1U/V2SGua2OEmSJEnq7DZsyIRJixbBrl1Jq87ll2e2ul1ySbsexA31D8Du3j3ZunbwYGatqCjZybdt23u/o7Q0CYzqm3NUX3Dl/CMpo6FtcYZLkiRJktTZ7N4NixdnAqWXXkrWhw7NhEmTJkH//nkts7mGDq1/S1tzOENJajlnLkmSJElSZ1VZCevXZ8KklSuT7W9FRTBxYmZ20hlntOtB3Ed2Dn3gA8lpbdWvWxssgTOUpFwwXJIkSZKkjujtt5MB3Ol0MpD7rbeS9WHD4JZbMoO4e/bMb50NqC9Iqj3zqLwc7r03c315eZKLNXXzTXEx7NvnDCWpLRguSZIkSVJHcPAgrFqV6U567LFkffDguoO4TzghL+Udreuo9utBg5KxT9VzksrL4b77jh4cxfjegKmhmUtz5iTPnaEk5Z4zlyRJkiSpvXrppUyYtHhxMkupW7f3DuIuKGjz0mqHSUeGRblWWnr00+IMkaTsc+aSJEmSJLV3u3Ylp7lVB0obNiTrp5wCn/pUZhB3v345uf2RgRHA9u1H7zyq71S2XCkthVdffe+6YZKUP4ZLkiRJkpQvlZXJ9rbqMGnVKjh8GPr0SQZx33prEiidfnpOBnE31n1UOzA6cv5RrsKko81UcmaS1D4ZLkmSJElSW9q8ue4g7i1bkvWLLoKvfCUJk0aPhh49clpGWRnMmJEZeN2W3Uf1KSqCz3ym4TlNbneT2i/DJUmSJEnKpYMHYeXKJEx68EFYvz5ZP/bYZAB39SDu447L6m0b2uJW/TzfYVL37snuvuptdwZHUsdluCRJkiRJ2RTjewdx79mTDOIePRp+8IMkULroomYN4q4Oi8rLobAQKiqguDh5r3ZoVP28oS1uuQqVjgyLGjstzjBJ6lwMlyRJkiSptXburDuI+5VXkvXTTkv2eqVSyQylY46p87GmBkbbttWdR1RRkVmv1hYBUm12HkmqZrgkSZIkSc1VWQnr1mXCpNWrk0Hcffsmp7l99auQSlH20GlJeHTPe8Oj5gZGjQ26zpbagVFjp8UZJkmqzXBJkiRJkprizTfrDuLeujVZv+QS+NrXku6kyy+HHj0oK4Mvj6wbDtUXHrVFYNRUpaUGRpJaxnBJkiRJkupz4ACsWJHpTnriiWT9uOPYcPb7mfNsit9um0pF+ftgLmz7YaY7qXZHUntXVARz5xoqSWo5wyVJkiRJgiQNeuGFTJi0ZAns3ZvsFRszBu66iz9XpPjMT4axdUWtQdz1dCe1h2CpoS1uR253s1tJUmsZLkmSJEnqunbsgIULM4FSeXmyfsYZ8LnPsaRnipm/m8Czi/sSluQ/NKruiDraaXGGRpLakuGSJEmSpK6jogLWrs2ESQ89BBUV7ArHsCBOZn74Bn+JKTZtOIWKu+tub8tVsGRgJKmjM1ySJEmS1Kn9191vsPq7aS7dlmYq8ylmO5UE1nIp8/gGD5LioTiKw3SH6gApB9vbCgqSQ+Zqh0cGRpI6A8MlSZIkSR1CWRnMmpXsXKvu8qnvsVvFfiYULGdKZZoUaa7mKa4G3uR4/psPkybFAqawlWNzWm91R5KnsEnq7AyXJEmSJLU7tYOk+k5eqx6cnTxGzqh4jhRpUhVpxrOUosp9HKAHyxnLA3yaNCme5AIgZL3WPn2gVy/Yti0TchkoSepKDJckSZIk5V1jYVJ9W9MG8A6TWZgESqQpYRMAz3EW/8INpEmxlPHspU/Oai4uhjlzDJAkyXBJkiRJUs40FBpVzx+qryupvjCpgApG8GhNmDSShymkkh30YwFTuJPbmcc0yhma9V/DkQO37UqSpLoMlyRJkiQ1W2tDo8rK964d6SReqwmTprCAQbxDJYE1DGc2s0iT4mFGUpHF/62prt8gSZKaznBJkiRJUpPUDpRqa25o1JBe7GMcy2oCpfN4BoDXOZE/cFXNIO5tDG7hr+C94ZEhkiS1Xl7DpRDClcAcoBD4eYzxriPe/yzw98DrVUt3xxh/3qZFSpIkSV1YWRl8+cvJsOrsi5zLMzVh0jiW0Zv97KcnyxnLv3IdaVI8xfkcOYi7oZCooUfDI0nKnbyFSyGEQuCfganAa8CjIYQ/xhifOeLSf48x3tzmBUqSJEldwNFOZcu2gWxnCgtIkWYa8xjCawA8y9n8jBtrBnHvo6jezztEW5Lan3x2Ll0GvBRj3AAQQvgtcBVwZLgkSZIkKQfKymDGDNi7N3mdi2CpkMNcxiM13UkjeJRCKnmX/ixgCt/j26RJsYmSms8UFACVdhtJUkeRz3DpJKg6LzTxGjCynuv+VwhhHPACcGuMcVM91xBCmAHMACgpKanvEkmSJEk0PDspW4awsSZMmsxCBvIuFRTwKCO4k9tJk2JNuIxDsVudbim7kiSpY2rvA73/G/hNjPFACOFG4JfApPoujDHOBeYCDB8+PMfNvJIkSVLHkNuZSYne7GU8S2sCpXN4DoDXOIn/4mpW9U1x5Y+n8PEbBzEK+E7uSpEk5UE+w6XXgSG1Xp9MZnA3ADHG2n8E/hz4uzaoS5IkSeqQ2m5+UmRYeIqpMc1VvdJcUbGcwkMHoFcvGDcOUjdAKsXJ557L50Pg87kqQ5LULuQzXHoUOCOEcApJqHQN8Ne1LwghnBBjfLPq5UeAZ9u2REmSJKl9aWqAlO1gaRDbmMICPtIzzUeL0hS980byxqnnQmompFJJsNS7d3ZvLElq9/IWLsUYD4cQbgbSQCFwf4zx6RDC94A1McY/An8TQvgIcBjYDnw2X/VKkiRJ+VRWBjfeCHv2ZNZyebJbIYcZycOkSPPBbmkuqXiUECMUDYQpU5Iwado0GDLk6F8mSerUQsz1WaN5MHz48LhmzZp8lyFJkiS1SlvMS6rtrF7l/PKv04x8Nw0LF8KOHcnRbSNHJmFSKgUjRkBhYdsUJElqV0IIa2OMw49cb+8DvSVJkqQuJdcnudVWxJ6aQdwf6pbmtP3Pw/0k3Ugf/3gSJk2eDAMH5r4YSVKHZbgkSZIktbG27kjKiFzAk1wZ0kyLacaynJ4cTOYkjR8PqZuSQOnss5OBTpIkNYHhkiRJkpRj+QuToJitXN13PrddnOa0l+bBm29CBM4/H1JfSsKksWOTk94kSWoBwyVJkiQpB9pye1tt3ThEqt9D3DUxzfmvp2HtWtgd4elBMHVqZhD3SSe1bWGSpE7LcEmSJElqpdpBUgi5PcWtWnExzJkD06cDr7wC6XTys2gR7NwJfyqEUaPgjjuSQOnSSx3ELUnKCcMlSZIkqQUa2uqWy2Cpb1+47z6YftVuWLIkCZPuSMOLLyYXlJbCNdckYdKkSTBgQO6KkSSpiuGSJEmS1ET5mp1UWhK558b1fKAwDb9Iw3Ur4NAhKCqCCRPg5puTQOnMMx3ELUlqc4ZLkiRJUj3ysdWttrMGvs0vrpnP6N1pmDcPZr2VvDFsGNxySxImjRkDPXu2bWGSJB3BcEmSJEk6wsyZyfaz6kApF8FSnZlJAAcPwurVmdlJ69bBvVUXTpuWGcR9wgnZL0aSpFYwXJIkSZJomy1vpaUwe3atQOnll+GeWoO4d+9Ohm5fcQXceWcSKF1yCRQU5K4oSZJayXBJkiRJXUpbz02q06G0axcsXgxfrAqUXn45uWjo0OSCK69MBnH369c2xUmSlAWGS5IkSeoSysrgxhthz57c3eM9W90qK+Hxx5MgaUIaVq3KDOKeODFJuVIpOOMMB3FLkjoswyVJkiR1Om3VndS3bzKbqSZMAnjrLfjVvCRQmj8f3n47Wb/wQrj11iRMGj3aQdySpE7DcEmSJEmdysyZcO+9ub1HnQ6lgwdh8crMIO7HH08uGjy47iDu44/PbVGSJOWJ4ZIkSZI6hVxue/vCF+Cee2otvPQSPPggfDidzFDaswe6dUsGcc+enQRKF1/sIG5JUpdguCRJkqQOp622vdV0KH14J/xhcaY7acOG5IJTT4VPfzoJkyZOdBC3JKlLMlySJElSu9cWYVJBQTJ/u7QUZn+/kunnPpYESXPT8NlVcPgw9OmTnOb2v/93EiidfnruCpIkqYMwXJIkSVK7lqsZSu852W3zZphXNYj7K/Nhy5Zk/eKL4atfTcKkK66AHj2yX4wkSR2Y4ZIkSZLarWwHS3UCpQMHYOVKuK1qq9v69clF73tfEiSlUjB1Khx3XPYKkCSpEzJckiRJUruTzW1wNcO4Y4QXX0yCpA9VDeLeuxe6d4fRo+GHP0wCpQsvdBC3JEnNYLgkSZKkdqWsDGbMSHKf1ujbF37xDzv4xOBFcFNVd9KrryZvnn46XHddEiZNmADHHNPasiVJ6rIMlyRJkpR32ehUKiiAWFnJh45fy/fHpLlwcxq+sBoqKpLwaNIk+PrXk0Dp1FOzV7wkSV2c4ZIkSZLaVDa3vBUXw9zvvsHVfasGcc+fD5u3wX8Cl14Kt92WhEmXX55sf5MkSVlnuCRJkqScyWaQBBAC3Hz9fv7pEyuSMCmdhi89mbx5/PHwwQ9mBnEfe2x2bipJkhpluCRJkqSsyXaYlIicxfNcXZTmi2ekOenflsC/7IMePWDMGPjRj5JAadiwJH2SJEltynBJkiRJrVZWBjfeCHv2ZOf7+vMuk1lIijQp0pSyEfYC+86E66/PDOLu0yc7N5QkSS1muCRJkqRmy3aHUgEVDGdNTZg0kofpRgU76MfiMJnNn/0mI781DU45JTs3lCRJWWO4JEmSpCbJdqB0Iq/XhElTWEAx26kksIbh/JC/JU2KlwaN5Cf/1J2R07NzT0mSlH1HDZdCCKcBr8UYD4QQJgDDgAdijO/mujhJkiS1rdzMTEr0ZD/jWFYTKJ3P0wC8wQn8kY+QJsW6gVP4zk8H863p8K3slyBJknKgKZ1LvweGhxBOB+YCfwB+DXwgl4VJkiQp93IZJkHkHJ6tCZPGs5Te7OcAPVjGOP6j6LNc9q0UH7ztfK4LgetyUYIkScq5poRLlTHGwyGEjwI/jTH+NITwWK4LkyRJUvbkNkTKGMA7TGEBKdJMYx4lbALgxYKzKJ8yg7NvuZKe48cztaiIqbktRZIktZGmhEuHQgjXAp8BPly11j13JUmSJClbsn2K25EKqOAyHqnpTrqMRyikknfpz84Rk+H62yGV4ozS0twUIEmS8q4p4dJ1wE3A7BjjKyGEU4Bf5bYsSZIktVSuu5ROZlOdQdwDeZdKAo8ygn/sPYthX0sx7VsjGdDNs2MkSeoKjvonfozxmRDCbUBJ1etXgB/lujBJkiQ1T666lHqxj/EsrQmUzuVZAF7nRP7c86OU3pBizHenMLK4mJHZvbUkSeoAmnJa3IeBHwM9gFNCCBcB34sxfiTXxUmSJKlhuetQipzLM1zJg6RIM45l9OIA++nJMsbx26LPc9m3UnzotvOYHkK2by5JkjqYpvQqfxe4DFgCEGN8PIRwag5rkiRJ0lHMnAn33pu97xvI9ppB3CnSnMzryRvnnAOpL0AqRa9x45hWVMS07N1WkiR1Ak0a6B1j3BHq/qtUZY7qkSRJErmfm1TI4TqDuEfwKIVUwoABMGUKpFLJz0NZbAoAACAASURBVJAhuSlAkiR1Gk0Jl54OIfw1UBhCOAP4G2BVbsuSJEnqmnJ5utsQNnJVzzRfG5am5IUFsGMHFBTAZZdB6ltJmDRiBDiIW5IkNUNT/ubwJWAWcAD4DZAGvp/LoiRJkrqisjK47jo4dCg739ebvTWDuD9QmObMiueSv9G9eTJ87GNJmDR5MgwalJ0bSpKkLqkpp8XtJQmXZuW+HEmSpK4lu9vfIufzVM1Wt7EspxcHoFcvGD8eUjOSQOmcc8BB3JIkKUsaDJdCCP8NxIbe97Q4SZKk5sv2LKVBbGMq80mRZhrzOIk3AHj35PPo9YkvJmHS2LHQu3d2bihJknSExjqXftxmVUiSJHVCuRjKXchhRvFQTXfScNZQQGRPz4H0uWpqEiZNm8aAk0/O3k0lSZIa0WC4FGNc2paFSJIkdQa5CJRKebUmTJrMQvqzkwoKeIhR/F3v73LRbSmuvH04FBZm76aSJElN1Ni2uN/FGD8RQniSerbHxRiHtfbmIYQrgTlAIfDzGONdR7zfE3gAuBTYBnwyxvhqa+8rSZKULbkIk4rYwwSW1ARKZ/FC8kZJCaQ+CakUhZMnM3rAAEZn77aSJEkt0ti2uC9XPX4oFzcOIRQC/wxMBV4DHg0h/DHG+Eytyz4PvBNjPD2EcA3wI+CTuahHkiSpuWbOhHvvzcY3RYbxRE2YNIYV9OQge+nNOxdOgOtmJtvdzjrLQdySJKndaWxb3JtVT2fGGG+r/V4I4UfAbe/9VLNcBrwUY9xQ9Z2/Ba4CaodLVwHfrXr+n8DdIYQQY2xw0LgkSVKulZXBjTfCnj0t/47BbKkziPsENgPwBBfwT/wNq49J8fE5Y7j2ul5ZqlqSJCk3GutcqjaV9wZJ769nrblOAjbVev0aMLKha2KMh0MIO4BiYOuRXxZCmAHMACgpKWllaZIkqavL9na3bhziclbXdCddwjoKiGylmPlMZWWfFJPumsbVN59Iq2cPSJIktaHGZi59AZgJnBpCeKLWW8cAK3NdWHPFGOcCcwGGDx9uZ5MkSWqRbHQlVTuFDTVh0iQW0Y9dHKaQhxjFj3rfwcXfSHHlrEu5trCQa1t/O0mSpLxorHPp18BfgB8C36i1vivGuD0L934dGFLr9clVa/Vd81oIoRvQn2SwtyRJUta1doZSH3YzkcU1gdIZvATAxoJS3hp/Lf1uTtFt8mTG9O/PmCzVLEmSlG+NzVzaAewArq0avn1c1fV9Qwh9Y4wbW3nvR4EzQginkIRI1wB/fcQ1fwQ+A6wGPgYsct6SJEnKtpZ2KwUquZD1NWHSaFbSg0PsoYhV3Sew45ovMXxWipIzz3QQtyRJ6rSOOnMphHAzyVDtt4DKquUIrRsHUDVD6WYgDRQC98cYnw4hfA9YE2P8I/AL4FchhJeA7SQBlCRJUqu0Zp7SsbzNNOaRIs1U5nM8bwGwnmEsvegWpv44RZ8xY5jas2eWq5YkSWqfwtEagaqCnZExxg6zHW348OFxzZo1+S5DkiS1E60Jk7pzkCtYVWsQ92MAbGEw85lKmhQri6Zxx9wTmD49y4VLkiS1IyGEtTHG4UeuN+W0uE0k2+MkSZI6nJbMUTqNl2rCpIks5hh2c4hurOZyZnEnaVKs4xIGFRcwZw780lBJkiR1YU0JlzYAS0II/wMcqF6MMf5DzqqSJElqpebMUerLLiaxqCZQOo0NAGzgFP6926c44+YU4++YxLh+/RgHzM5t6ZIkSR1KU8KljVU/Pap+JEmS2oWWbncLVHIxj9WESVewiu4cZjd9WMxE/pFbSZNi6k2nc8+9DuKWJElqzFHDpRjjHW1RiCRJ0tG0ZnbScWyuM4j7fWwB4DEu4id8hTQpVnEFB+lJ375w3304Q0mSJKkJmnJa3LHA14HzgF7V6zHGSTmsS5IkCWh5oNSdg4xmJSnSXMmDXMR6AN7mWOYxjTQp5jOVtzi+5jPFxTBnjqGSJElSczRlW1wZ8O/Ah4CbgM9A1T/1SZIkZVnLu5Mipx8xiLsvezhEN1Yymr/lB6RJ8TgXESkAkjDp3wyTJEmSWqUp4VJxjPEXIYQvxxiXAktDCI/mujBJktR1tDRQOoaddQZxn8orALzEafySz5AmxWImsptjaj7zhS/APfdks3pJkqSurSnh0qGqxzdDCB8E3gAG5a4kSZLUWbVmZhIkg7gvYV1NmHQ5q+nOYXbRl0VM4sd8lTQpNnDaez7rHCVJkqTcaEq4dGcIoT/wFeCnQD/g1pxWJUmSOoXWhkkAx/NmnUHcx7IVgLVcwt/zNdKkWM3lHGrgUFvnKEmSJOVWU06L+1PV0x3AxNyWI0mSOrrWBko9OMAYVtR0J13IEwBs5jj+wvtrBnFv4X01nzFAkiRJyp+mnBb3r0A8cj3G+LmcVCRJkjqU1ncnRc7khZowaQJL6MNeDtKdFYzhNu4iTYonGOYgbkmSpHaoKdvi/lTreS/goyRzlyRJUhdWVgY33gh79jT/s/3YwWQW1gRKQykH4AXO4H4+R5oUS5jAHvrWfMbuJEmSpPapKdvifl/7dQjhN8CKnFUkSZLarZZ2KRVQwaWsrQmTRvEQ3ahgJ8ewkMncxTdIk+JVTqn5THEx/MwwSZIkqd1rSufSkc6AWkMOJElSp1VWBrNmQXl58z97Am/UhElTmU8x26kksJZLa8KkhxjFYbpTUACVlVBaCrNnGyhJkiR1JE2ZubSLZOZSqHrcDNyW47okSVIba+3spJ7sZyzLawKlC3gKgDc5nv/mw6RJsYApbOXYmi1uyw2RJEmSOrymbIs7pi0KkSRJudX6wdtHipzNczVh0niWUsQ+DtCD5YzlAT5NmhRPcgHFxYE5c+A3hkmSJEmdTqPhUgihNzAdOLdqaQ3wnzHGg7kuTJIktVz2g6TEAN6pM4i7hE0APM+Z/JzrSZNiKRPYQx+3uEmSJHURDYZLIYQLgD8Cy4C1Vcsp4NYQwlTgqzHG23NfoiRJao6ZM+Hee7PzXQVUMIJHa8KkkTxMIZXsoB8LmcxsZpEmRTlD6dsX7rsP/scwSZIkqUtprHPpn4AZMcb5tRdDCFOAp4Cnc1mYJElqmmx3KZ3EazVh0hQWMIh3qCSwhuH8gG+SJsXDjOQw3YHkVLd/81Q3SZKkLquxcOmEI4MlgBjjghDCIeCjuStLkiTVJxfb3Xqxj3EsqwmUzuMZAF7nRP7AVTWDuLcxuOYz1QO5DZQkSZLUWLhUEELoGWM8UHsxhNALOBRj3Jvb0iRJ6rpyNTMpETmXZ2rCpHEsozf72U9PljOWf+U60qR4ivNJDou1O0mSJEkNayxcegD4fQjhizHGcoAQwlCS7XK/yn1pkiR1PWVlcOONsGdPdr93INuZwgJSpJnGPIbwGgDPcjY/40bSpFgexrMnFjmIW5IkSc3SYLgUY7wzhHAzsDyEUFS1vAf4cYzxp21SnSRJXUAuupQKOcxlPFLTnTSCR5NB3KE/O4ZPgRu+DakU55SUcA5wS/ZuLUmSpC6msc4lYox3A3eHEI6per2rTaqSJKkLyHaX0hA21oRJk1nIQN6lggI2vm8EhTfdDqkU/S+7jP7dGv3jX5IkSWqWJv3t0lBJkqTWy3aHUm/2Mp6lNYHSOTwHwGucxH9xNesGp5hw5xQ+fuOg7NxQkiRJqof/dClJUg5lN1CKnM9TNWHSWJbTiwPsoxfLGMevi25g5LdTfOjr5/L5EPh8Nm4pSZIkHYXhkiRJOTJzJtx7b+u+YxDbagZxp0hzEm8A8FzhubwydSbn3JKi97hxpHr3JpWFmiVJkqTmOmq4VDXM+ytASYzxhhDCGcBZMcY/5bw6SZI6mNZ2KhVymJE8XGcQdwERBg6EKVMglYJp0zh7yJDsFi5JkiS1UFM6l/4VWAtcXvX6deA/AMMlSZJqaWmnUgnldQZxD2AHlaGAglEjIfWdJFAaMQIKC7NftCRJktRKTQmXTosxfjKEcC1AjHFvCCHkuC5JkjqM5nYrFbGnziDus3kegNcKhrB13McZ8MUUBZMnJ91KkiRJUjvXlHDpYAihNxABQginAQdyWpUkSR1EWRnMmAF79zZ2VeQCnqwziLsnB9lHL1Z2n8DuT97E8G+mOPnss8F/v5EkSVIH05Rw6TvAg8CQEEIZMBr4bC6LkiSpo/jyl+sPlorZylTmkyLNNOZxIm8C8HTB+bx85Zc495YUvceOZUqvXm1csSRJkpRdRw2XYozzQwjrgFFAAL4cY9ya88okSWpnGtv+1o1DjOKhmu6kS1lLAZFtDGI+U1nZJ8XEH07j6i+d1PaFS5IkSTnUYLgUQrjkiKU3qx5LQgglMcZ1uStLkqT8KiuDWbOgvDzZqRbje68Zyis1YdIkFtGfnRymkIcYxXe4gzQpnu9zKff8rJCfTm/7X4MkSZLUFhrrXPpJI+9FYFKWa5EkqV2YORPuuy8TKFU/9mE3E1hSEyidyYsAvEopv+Ua0qRYxCR2MIDiYpgzB6YbKkmSJKmTazBcijFObMtCJEnKl4a3u0UuZH1NmDSGFfTgEHsoYgkTuJubSZPiBc4k2TmeKC6GrW4glyRJUhdx1JlLIYRewExgDEnH0nLgvhjj/hzXJklSzjQUKB3L23UGcR/PWwCsZxj/h1tIk2IFYzhIz3q/N4SkY0mSJEnqKppyWtwDwC7gp1Wv/xr4FfDxXBUlSVIu1Bcodecgl7O61iDuZKTgVoqZz1Qe5ErmMY3NnHDU7w8BbrrJrXCSJEnqWpoSLp0fYzy31uvFIYRnclWQJEnZVF+gdCov1xnEfQy7OUwhq7mc2/k+aVKs4xIqKTzq9xcUQGUllJbC7NkGS5IkSep6mhIurQshjIoxPgQQQhgJrMltWZIktdyRgVJfdvFhFtcESqfzMgCvMJQyptcM4t5J/6N+t4O6JUmSpLqaEi5dCqwKIWysel0CPB9CeBKIMcZhOatOkqQmqh0oBSq5iMe5oSpMuoJVNYO4FzOROXyZNCle5AxqD+KuT/VWt3vuaZtfhyRJktTRNCVcujLnVUiS1AplZXDbZ9/i/YfnkSLNVOZzHG8D8DgX8o/cSpoUKxnd4CDu2tzqJkmSJDXdUcOlGGN5CGEgMKT29THGdbksTJKkI5WVwaxZUF4OvQoOMqpyJVeSZhppXuNxALYwmHlMI02KeUzjLY5v0ne73U2SJElqmaOGSyGE7wOfBV4GYtVyBCa19KYhhEHAvwNDgVeBT8QY36nnugrgyaqXG2OMH2npPSVJHdvMmTD/3pf4EA+SIs3EysX0ZQ+H6MYqruCbzCZNise4mEhBk77TQEmSJElqvaZsi/sEcFqM8WAW7/sNYGGM8a4QwjeqXt9Wz3X7YowXZfG+kqSOZOdOln53MS/fk+YrB9LcwwYAXuZUHuDTpEmxmInsol+Tv9JASZIkScqupoRLTwEDoGp4RXZcBUyoev5LYAn1h0uSpK6kshIeewzSaUinqVy5ivEVh7mUPixiEv/A/yZNipc5vVlfa6AkSZIk5U5TwqUfAo+FEJ4CDlQvtnKL2nExxjernm8Gjmvgul4hhDXAYeCuGOP/a+gLQwgzgBkAJSUlrShNktSmNm+GefMgnWb/n+bTa+cWANZxMWm+SpoUq7iCQ/Ro1tcaKEmSJEltoynh0i+BH5HMPqps6heHEBZAvVNUZ9V+EWOMIYRYz3UApTHG10MIpwKLQghPxhhfru/CGONcYC7A8OHDG/o+SVK+HTgAK1fWdCexfj0Ab/E+krPeUsxnKm83+O8OjevRA+6/31BJkiRJaitNCZf2xhj/qblfHGOc0tB7IYS3QggnxBjfDCGcQANb7mKMr1c9bgghLAEuJhksLknqKGKEF1+sCZMOL1hMtwN7OUh3VjKaND8kTYr1XNjkQdy1hZDcAuxWkiRJkvKhKeHS8hDCD4E/Undb3LpW3PePwGeAu6oe/3DkBSGEgSTB1oEQwmBgNPB3rbinJKmt7NgBixbx4t1pei1NM6TiVQBe5HTSXEeaFEuYwG6OadHXGyJJkiRJ7UdTwqWLqx5H1VqLwKRW3Pcu4HchhM8D5SQn0hFCGA7cFGO8HjgH+FkIoRIoIJm59Ewr7ilJypXKSli7NrPVbfVqqKjgOI5hEZP4AV8nTYpXOLXVtyouhq1bs1CzJEmSpKw4argUY5yY7ZvGGLcBk+tZXwNcX/V8FXBBtu8tScqSN96oGcTN/PmwbRsAa7iUedzGg6RYzeUcpnvWbllUlHQsSZIkSWo/mtK5RAjhg8B5QK/qtRjj93JVlCSpHdq/H1asyHQnPfkkAJs5jjQfrBnEvZVjs3rbwkKoqIDSUpg9261wkiRJUntz1HAphHAfUARMBH4OfAx4JMd1SZLyLUZ4/vlMmLRkCezbBz16sPn0Mdzd/Uf896EUTzAMCFm5ZUFBssPOIEmSJEnqOJrSuXRFjHFYCOGJGOMdIYSfAH/JdWGSpDx4911YuDATKG3cmKyfeSbPjb2eHz2W4ndbJrD3mT5Zva1hkiRJktRxNSVc2lf1uDeEcCKwDTghdyVJktpMRQWsWZMJkx5+OFnr14+NZ07mvt3f5Dfbp1H+4inEF7JzS7e5SZIkSZ1LU8KlP4UQBgB/D6wjOSnuX3JalSQpd15/PRMmLVgA27dDCGw9ZTi/7vu3/G5Hikd2juTQmlqDuGPrbtmjB9x/v0GSJEmS1Bk15bS471c9/X0I4U9ArxjjjtyWJUnKmv37YdmyTKD09NMA7B1wAv9z6CP8nhQL4xS2bhick9sXFycnvBksSZIkSZ1Tg+FSCGEEsCnGuLnq9aeB/wWUhxC+G2Pc3kY1SpKaI0Z49tlMmLR0aRIw9egBY8ey7oLP8OW/XMmKd88nW4O4q7nVTZIkSep6Gutc+hkwBSCEMA64C/gScBEwl+TUOElSe/DOO8kWt3Qa5s2DTZuS9bPO4rlxM7jr8RT/8fZ49i3qQ2zlFrcjFRXB3LkGSpIkSVJX1Vi4VFirO+mTwNwY4+9Jtsc9nvvSJEkNqqiARx7JdCc98ghUVkL//mw8czL37rmdX29PsemFUuLztT6XpWCpoCC5nZ1KkiRJkhoNl0II3WKMh4HJwIwmfk6SlAubNtUdxP3uu8QQWN99BH+snMWCghSrdoykck23THeSYZIkSZKkHGssJPoNsDSEsBXYBywHCCGcDjjQW5Jybd++ZBD3gw8mgdKzzwLwOieypOdHmdczxZ8OTGH7weLk+sqqz2UhUDJMkiRJktRUDYZLMcbZIYSFwAnAvBhr/h28gGT2kiQpm2KEZ57JdCctWwb791PRvSfLGMef+DxpUjzNeXAgu4O4DZMkSZIktVSj29tijA/Vs/ZC7sqRpC5m+/bMIO50Gl5/HYBnOIdlvW7iwZ4p5h0Yxz6KcnL74mKYM8cwSZIkSVLLOTtJktrS4cM1g7i3lqUZ+PKjFFLJu2EAiwum8D+kSJPiNYbA/uzf3g4lSZIkSdlmuCRJOVJWBrNmQSzfyNV90kw8lGbcwQUMYAcVFPAil5HmW6RJ8WgcQUVF9v6THEKyy66wMDlYzjBJkiRJUq4YLklSFlQHSeXl0LdgL2Mql3Ilaf5CmnN4DvbAJk7mP/kYaVIsZDLvMCirNdiVJEmSJCkfDJckqZXK/i0y54an+Nj+NCnSjK1cTi8OsI9eLGU8c5lBmhTPcg6QnUHcffpAr17JyKaSEsMkSZIkSfljuCRJLbFtG8yfD+k0k381j+kVbwDwFOfxz3yRNCmWM5b99M7qbR3ALUmSJKm9MVySpKY4fBgeeihzqtuaNRAj7xYMZGnlVNKkmMc0XufkrN3S7iRJkiRJHYHhkiQ15NVXIZ1m48/TDFi7kH5xJxUUsKbbKP4nfpd5pHi0cjiVFLb6VgZJkiRJkjoqwyVJqrZnDyxZkulOeuGFZD2U8Nv4yZpB3DsOD2jyV1af2lZcnLzevh0GDco8N0iSJEmS1NEZLknqumKEJ56AdJrNv0wz8JkV9OQg+0JvXh4ygd8PnMlv3knxfDyL5gziLiyEigpPbZMkSZLUNRguSepatmypGcTNvHmweTMA28L5/BtfSgZxx7Ec2NirRV9fWprsppMkSZKkrsJwSVLndugQrF6d2eq2bl3SsTRoEK+eOZV/PpTi19um8UY8qdW3KipKOpUkSZIkqSsxXJLU+WzYkAmTFi2CXbuSvWqjRsEdd0Aqxa+fv5Qbbipk797W3ap6ppJb4CRJkiR1VYZLkjq+3bth8eJMoPTSS8l6aSlcey2kUjB5MvTvT1kZzPoElJe37Fa1B3M7jFuSJEmSDJckdRBlZTBrFmzcCKVDKrnhsvUULkhz2btpRrOSHhxiD0U83HsCW0d/ifteSbGk/EwG/T7A7zOntO3aBQcPNv/+RUUwd65BkiRJkiQdyXBJUrtXVgazbnibMfvmkSLN1I3zOX7jWwCsZxj/h1tIk2IFYzi4ryeszHx227b6nzemtBQ+8AH485+TMMsOJUmSJElqmOGSpPbp4EFYtQrSaS78hzSvHnwMgC0MZj5TSZNiHtPYzAlZu6XdSZIkSZLUfIZLkvKuestb9/KXuGZQmhtL0xz37GK679/NIbqxncuZxZ2kSbGOS4gUZL0GB3JLkiRJUssYLklqc9Vh0vbyXVx1zCLG7EmzsDLNaWyA7bBh+yn8a8Gn+DMpFjGJXfTLWS12K0mSJElS6xguSWo7lZX85QeP8cL30vzyUJorWEX3XYfZTR8WM5F/5FbSpHiJ06Ey5KSE7t2hXz9Pe5MkSZKkbDFckpRbb73Fqu/O461fpRm9Zx7vZwvvBx7jIn7CV0j///buPEjO+r7z+PsrCTAjBITD3DPDzcrcDIckcDgEA45jDBvKx5SDjWMlVbbDGkNCMq7drGuVYHsrG6+Pcs0mqbioLrO4WNYum6CDw0IgDgmLQwgwhyQQGMQpwwCypN/+8evZnpF6ju6Znmem5/2qUnU/33766e8MXZT0qd/v+9DJfcxlC7uN6HIRORTqP3B7n33ya32B0VCvGSZJkiRJ0tgyXJI0trZsgXvvhUWL8p/Vq5kLvMr+LOYiFtHJEi7kFQ6s+dJtbbBu3Zh3LEmSJEkaBcMlSaOTEjzzTCVMuusuePddmDED5s3j23v/PTe91clqTh7xIO5ddskrlLZsqdRaWvKqI0mSJEnSxGK4JKl2mzfDnXdWAqXnn8/1I4+EK6+Ezk447zyYNYvrp0Ea5nLV5iBBHvq9YYPb2SRJkiRpIjNckjS87dvh4YcrYdKKFbB1K+yxB5x/Plx7bQ6Ujjxyp7e2tsL69Ttfcvr0fNmhgiPDJEmSJEma+AyXJFX38suweHEOk5Ysgddey/VTT4Xrrsth0pw5sOuuQ15m4UJYsAB6eyu1lhbo6TE8kiRJkqRmYLgkKfvgA1i+vLI66dFHc/2AA+CSS3KYdOGF8OEP13TZvgDJLW6SJEmS1JwMl6SpKiV4+ulKmHT33Xl50S67wNlnww035EDpxBNh2sgGcQOUStWDJMMkSZIkSWpOhkvSVPL223DHHZVAqW8Y0tFHw1VX5TDp3HPzLKU6lEoDt8CtX5+PwXBJkiRJkppVpDTcfZwmn46OjrRy5cqi25CKt20brFpVCZPuvz/XZs2CCy7IYVJnJxx++Jh8XHt79eHdbW2wbt2YfIQkSZIkqSARsSql1LFj3ZVLUrN56aVKmLRkCbzxBkTAaafB9dfnMOmss/L2t1HacQtctWAJ8uuSJEmSpOZUSLgUEVcAfwf8B+CMlFLVZUYRcTHwXWA68M8ppRvGrUlpsnj/fbjnnkqg9PjjuX7ggfDxj1cGce+//5h+bLUtcBF5lNOOWlvH9KMlSZIkSRPIyKf0jq3HgcuBZYOdEBHTgR8AlwCzgc9ExOzxaU+awFKCtWvhn/4p38Vtn33goovge9/Ld3L71rdg9eq8gunHP4bPframYKlUytvbpk3Lj6VS9frVV1eCpf6tRQystbTkod6SJEmSpOZUyMqllNJagNjxX6EDnQE8k1J6rnzuTcClwBMNb1CaaN58c+Ag7hdeyPVjjoE/+7PKIO6ZM0f1MYMN5L733pxT9a8PJqU8Y2nHu8VJkiRJkprTRJ65dAjwQr/jF4EzBzs5IhYACwBa3YOjyW7bNnjooUqY9MADsH077LlnHsTd3Z0Dpfb2Mf3Y7u6dVyP19kJPT25pJBzeLUmSJElTS8PCpYhYChxY5aXulNLPxvrzUko9QA/ku8WN9fWlhnvxxUqYtHRpXq0UAR0d8Ld/m8OkM88ck0HcfUY6kHukwZJb4CRJkiRp6mlYuJRSmj/KS2wEDut3fGi5JjWH996DZcsqgdIT5R2fBx8Ml16aw6T582G//UZ0uR2Dor7taEPVRzqQe/r06gHTvvvCHnu4BU6SJEmSprKJvC3uIeDoiDicHCp9GvhssS1Jo5BSDpD6wqRly/Kd3nbbDc45B77whRwoHX/8zlOxh1HLrKQFC/Lzalvg+gZy9w+YWlrgyisHXqev/t3vGiZJkiRJ0lRXyN3iIuKyiHgRmAP8MiIWlesHR8RtACmlrcBXgEXAWuDmlNKaIvqV6vbGG3DzzfDFL+alPccfD1//el7q8+d/Drfdls9ZsgSuvZbSoyfQfnjsdKe2PoPdyW2oWUnV6n0rmarpG8gdkR97euCHP8yPO9YNliRJkiRJkartgZnkOjo60sqVK4tuQ1PR1q3w4IOV1UkPPZQHce+1V97i1tmZ/1QZOr/j6iPIq4P6QpyhXv/c56pvZxtMxOAzlhzILUmSJEmqJiJWpZQ6dqobLkmjtGFDJUy64w546628tOj00yth0hlnwIyhd6G2tw8d9gz1OlR/bbBZSW1teT7SUGGWJEmSJEn9DRYuTeSZS9LE1NsLv/pVJVB68slcP+QQuPzyyiDuffap6bKDbVPrqw/1+o03Vg+KBpuV1H/weIQc5wAAE+hJREFUdrVh35IkSZIkjZThkjSclGDNmoGDuD/4AD70IfjoR+FLX8qB0uzZNQ/i7m+wbWp9O+iGen2ooGjevMEDpK4uwyRJkiRJ0ui4LU6q5vXXYenSHCYtXgwbN+b67NmVrW4f/SjsvvuYfeRoZi4ZEEmSJEmSGs1tcdJQtm6FBx4YOIg7JfiDP6gM4r7oIjjssIa1MNw2NbexSZIkSZImIlcuaepav37gIO63386DuM88s7I66fTT81RsSZIkSZKmOFcuSe++O3AQ91NP5fphh8EVV+Qw6YIL8molSZIkSZI0IoZLal4pwWOPVcKke+6BLVvyIO5zz4W/+IscKB133KgGcdeiVHJbmyRJkiSpuRguqbm89hosWVIZxP3yy7l+/PHw1a/mMOmcc3LANMaGC452HMi9fn0+BgMmSZIkSdLk5cwlTW6//z3cf39lddKqVXnF0j77wIUXVgZxH3JIQ9sYyZ3c2ttzoLSjtjZYt66h7UmSJEmSNGqDzVwyXNLk8/zzlTDpzjth8+Y8dPussyqDuE87bVwHcY8kOJo2LedeO4qA7dsb2Z0kSZIkSaPnQG9NXu+8A3ffXQmUfvObXG9thU99Ci6+GM4/H/beu7AWN2wYvt7aWj2Aam1tTE+SJEmSJI0HwyVNPCnBI49UwqTly/P2t913z4O4v/zlvDrp2GPHbRD3cEYSHC1cWH3r3MKFje9PkiRJkqRGMVzSxPDqqwMHcb/ySq6fcAJcfXUOk84+uyGDuMfCSIKjvtlL3i1OkiRJktRMDJdUjC1bYMWKyuqkhx/O9X33HTiI++CDi+1zhEYaHHV1GSZJkiRJkpqLA701fp59duAg7nfeyUO358ypDOI+9dRxHcQtSZIkSZJGxoHeGn+/+x3cdVclUHr22Vxvb8/Ldzo78yDuvfYqtE1JkiRJklQ/wyWNne3bYfXqSph03315EHdLC5x3XmV20tFHT5hB3JIkSZIkaXQMlzQ6r7ySB3AvWpQHcr/6aq6fdBJ87Ws5TJo3D3bbrdg+JUmSJElSQxguqTZbtsC991ZWJ61enev77ZcHcPcN4j7wwGL7lCRJkiRJ48JwScN75hm4/fYcJt11F7z7LsyYAXPn5luidXbCKafAtGlFdypJkiRJksaZ4ZJ2tnnzwEHczz2X60ccAX/6pzlMOu882HPPYvuUJEmSJEmFM1xSHsT9618PHMS9dSvMnJnv5nbNNTlQOuqoojuVJEmSJEkTjOHSVPXb3w4cxL1pU66fcgpce20Ok+bOhV13LbZPSZIkSZI0oTkkZ6r44AO4807467+Gk0+Ggw6CK6+EpUtzkHTjjTlwevhh+Id/gHPPbepgqVSC9vY8Jqq9PR+PxbmSJEmSJE01rlxqVinBb35T2ep2113Q2wu77ALz5uUAqbMTTjpp0g/iLpWguxs2bIDW1jxjvKtr6PMXLMi/DoD16/Mx7Py+Ws6VJEmSJGkqipRS0T2MuY6OjrRy5cqi2xh/b7+dVyf1BUrr1uX6UUflIKmzM69ImjWryC7H1I7hD0BLC/T0DB7+tLfnkGhHbW2VX1k950qSJEmS1MwiYlVKqWOnuuHSJLZ9O6xaVQmTVqyAbdtgjz3gggsqgdIRRxTdacPUE/5Mm5YXdu0oIv9K6z1XkiRJkqRmNli45La4yeallwYO4n799Vw/7bQ8T6mzE+bMydvfpoANG2qrQ946Vy2Qam0d3bmSJEmSJE1FhksT3fvvw/LlldVJjz2W6wccAH/0RzlMuvBC2H//YvssSD3hz8KF1bfSLVw4unMlSZIkSZqKDJcmmpTgqacqYdLdd8N77+U7t519NnzrWzlQOvHEvDdriqsn/OmbxTSSIeC1nCtJkiRJ0lTkzKWJ4K234I47KoFS356uY44ZOIh75sxC25yoar1bnCRJkiRJqp0DvSeSbdtg5cpKmPTAA7k2a9bAQdyHH150p5IkSZIkSYADvYu3cWMlTFq6FN54I29rO+00uP76HCadddaUGcQtSZIkSZKag+FSo7z/PixbVgmU1qzJ9YMOgj/+48og7v32K7ZPSZIkSZKkUTBcGispwdq1lTDpV7/KAdOuu8I558CVV+ZA6YQTHMQtSZIkSZKahuHSaLz5Zt7itmgRLF4ML7yQ68cem29h1tkJf/iHDuKWJEmSJElNy3CpFtu2wYMPVlYnPfggbN8Oe+2VB3F/4xs5UGprK7pTSZIkSZKkcTGt6AYmhZ/8BK64Is9HmjsXvvnNHCp1d8Py5fDaa3DLLXm1ksFSzUolaG+HadPyY6lUdEeSJEmSJGmkXLk0ErfcAitWwGWX5ZVJ8+fDvvsW3VVTKJVyJtfbm4/Xr8/HAF1dxfUlSZIkSZJGJlJKRfcw5jo6OtLKlSvH7oKbN8OsWQ7iboD29hwo7aitDdatG+9uJEmSJEnSYCJiVUqpY8e6K5dGYs89i+6gaW3YUFtdkiRJkiRNLM5cUqFaW2urS5IkSZKkiaWQcCkiroiINRGxPSJ2Wk7V77x1EfFYRKyOiDHc56aJYuFCaGkZWGtpyXVJkiRJkjTxFbVy6XHgcmDZCM49L6V0crU9fZr8urqgpyfPWIrIjz09DvOWJEmSJGmyKGTmUkppLUA4IFvkIMkwSZIkSZKkyWmiz1xKwOKIWBURC4Y6MSIWRMTKiFi5adOmcWpPkiRJkiRpamvYyqWIWAocWOWl7pTSz0Z4mbNTShsj4sPAkoh4MqVUdStdSqkH6AHo6OhIdTUtSZIkSZKkmjQsXEopzR+Da2wsP74aEbcCZzCyOU2SJEmSJEkaBxN2W1xEzIyIWX3PgYvIg8AlSZIkSZI0QRQSLkXEZRHxIjAH+GVELCrXD46I28qnHQAsj4hHgAeBX6aUbi+iX0mSJEmSJFVX1N3ibgVurVJ/CfhY+flzwEnj3JokSZIkSZJqMGG3xUmSJEmSJGniM1ySJEmSJElS3QyXJEmSJEmSVDfDJUmSJEmSJNXNcEmSJEmSJEl1M1ySJEmSJElS3QyXVLNSCdrbYdq0/FgqFd2RJEmSJEkqyoyiG9DkUirBggXQ25uP16/PxwBdXcX1JUmSJEmSiuHKJdWku7sSLPXp7c11SZIkSZI09RguqSYbNtRWlyRJkiRJzc1wSTVpba2tLkmSJEmSmpvhkmqycCG0tAystbTkuiRJkiRJmnoMl1STri7o6YG2NojIjz09DvOWJEmSJGmq8m5xqllXl2GSJEmSJEnKXLkkSZIkSZKkuhkuSZIkSZIkqW6GS02kVIL2dpg2LT+WSkV3JEmSJEmSmp0zl5pEqQQLFkBvbz5evz4fg/ORJEmSJElS47hyqUl0d1eCpT69vbkuSZIkSZLUKIZLTWLDhtrqkiRJkiRJY8FwqUm0ttZWlyRJkiRJGguGS01i4UJoaRlYa2nJdUmSJEmSpEYxXGoSXV3Q0wNtbRCRH3t6HOYtSZIkSZIay7vFNZGuLsMkSZIkSZI0vly5JEmSJEmSpLoZLkmSJEmSJKluhkuSJEmSJEmqm+GSJEmSJEmS6ma4JEmSJEmSpLoZLkmSJEmSJKluhkuSJEmSJEmqm+GSJEmSJEmS6ma4JEmSJEmSpLoZLg2jVIL2dpg2LT+WSkV3JEmSJEmSNHHMKLqBiaxUggULoLc3H69fn48BurqK60uSJEmSJGmicOXSELq7K8FSn97eXJckSZIkSZLh0pA2bKitLkmSJEmSNNUYLg2htbW2uiRJkiRJ0lRjuDSEhQuhpWVgraUl1yVJkiRJkmS4NKSuLujpgbY2iMiPPT0O85YkSZIkSerj3eKG0dVlmCRJkiRJkjQYVy5JkiRJkiSpboZLkiRJkiRJqlsh4VJEfCcinoyIRyPi1ojYe5DzLo6IpyLimYi4frz7lCRJkiRJ0tCKWrm0BDg+pXQi8DTwNzueEBHTgR8AlwCzgc9ExOxx7VKSJEmSJElDKiRcSiktTiltLR/eDxxa5bQzgGdSSs+llLYANwGXjlePkiRJkiRJGt5EmLl0FfDvVeqHAC/0O36xXKsqIhZExMqIWLlp06YxblGSJEmSJEnVzGjUhSNiKXBglZe6U0o/K5/TDWwFSqP9vJRSD9AD0NHRkUZ7PUmSJEmSJA2vYeFSSmn+UK9HxOeBjwMXpJSqhUEbgcP6HR9arkmSJEmSJGmCKOpucRcDfwV8IqXUO8hpDwFHR8ThEbEr8Gng5+PVoyRJkiRJkoZX1Myl7wOzgCURsToifgQQEQdHxG0A5YHfXwEWAWuBm1NKawrqV5IkSZIkSVU0bFvcUFJKRw1Sfwn4WL/j24DbxqsvSZIkSZIk1WYi3C1OkiRJkiRJk1RUn6U9uUXEJmB90X1IY2w/4LWim5DGid93TSV+3zWV+H3XVOF3Xc2qLaW0/47FpgyXpGYUEStTSh1F9yGNB7/vmkr8vmsq8fuuqcLvuqYat8VJkiRJkiSpboZLkiRJkiRJqpvhkjR59BTdgDSO/L5rKvH7rqnE77umCr/rmlKcuSRJkiRJkqS6uXJJkiRJkiRJdTNckiRJkiRJUt0Ml6RJIiK+ExFPRsSjEXFrROxddE9So0TEFRGxJiK2R4S38VVTioiLI+KpiHgmIq4vuh+pUSLiXyPi1Yh4vOhepEaLiMMi4q6IeKL8d5mri+5JGg+GS9LksQQ4PqV0IvA08DcF9yM10uPA5cCyohuRGiEipgM/AC4BZgOfiYjZxXYlNcy/ARcX3YQ0TrYCX08pzQbOAr7s/981FRguSZNESmlxSmlr+fB+4NAi+5EaKaW0NqX0VNF9SA10BvBMSum5lNIW4Cbg0oJ7khoipbQMeKPoPqTxkFJ6OaX0cPn574C1wCHFdiU1nuGSNDldBfx70U1Ikup2CPBCv+MX8R8fktRUIqIdOAV4oNhOpMabUXQDkioiYilwYJWXulNKPyuf001eblsaz96ksTaS77skSdJkFBF7ALcA/ymltLnofqRGM1ySJpCU0vyhXo+IzwMfBy5IKaVxaUpqkOG+71KT2wgc1u/40HJNkjTJRcQu5GCplFL6P0X3I40Ht8VJk0REXAz8FfCJlFJv0f1IkkblIeDoiDg8InYFPg38vOCeJEmjFBEB/AuwNqX0j0X3I40XwyVp8vg+MAtYEhGrI+JHRTckNUpEXBYRLwJzgF9GxKKie5LGUvkGDV8BFpGHvd6cUlpTbFdSY0TET4AVwLER8WJEfLHonqQGmgd8Dji//Hf21RHxsaKbkhot3FkjSZIkSZKkerlySZIkSZIkSXUzXJIkSZIkSVLdDJckSZIkSZJUN8MlSZIkSZIk1c1wSZIkSZIkSXUzXJIkSZNCROzb77bOv42IjeXnb0XEE+PcyycjYna/429GxPw6rtMeEY8P8tpHIuLOiHgqIp6NiP8aEWP+d7ehfpaIuDsiOsb6MyVJUnMxXJIkSZNCSun1lNLJKaWTgR8B/6P8/GRg+1h/XkTMGOLlTwL/P5BJKf3nlNLSMfzs3YGfAzeklI4FTgDOAK4eq8/op6E/iyRJan6GS5IkqRlMj4j/FRFrImJxOZwhIo6MiNsjYlVE3BMRx5Xr7eVVQY9GxB0R0Vqu/1tE/CgiHgC+Xe39ETEX+ATwnfLKqSPL7/uT8jVOj4j7IuKRiHgwImaVP++eiHi4/GfuMD/PZ4F7U0qLAVJKvcBXgOvKn/F3EXFt38kR8XhEtJef/99yv2siYkG/c96JiIXlvu6PiAOG+1n6i4iLImJFuf+fRsQe5foNEfFE+Xf532v+LydJkiY9wyVJktQMjgZ+kFL6CPAW8B/L9R7gqyml04BrgR+W698DfpxSOhEoAf+z37UOBeamlK6p9v6U0n3kVUXXlVdSPdv3xojYFfjfwNUppZOA+cB7wKvAhSmlU4FP7fB51XwEWNW/UP6c3SNi72Hee1W53w7gLyNi33J9JnB/ua9lwJeG+ln6i4j9gG8A88s/w0rgmvK1LwM+Uv5d/rdhepMkSU1oqOXekiRJk8XzKaXV5eergPbyypq5wE8jou+83cqPc4DLy89vBL7d71o/TSltG+b9gzkWeDml9BBASmkzQETMBL4fEScD24Bjav8RR+wvI+Ky8vPDyMHb68AW4Bfl+irgwhqueRZ569y95d/FrsAK4G3gfeBfIuIX/a4vSZKmEMMlSZLUDD7o93wbsDt5hfZb5blMtXi3/Fjv+6v5GvAKcFL5uu8Pc/4TwEf7FyLiCOD1lNJbEbGVgSvQP1Q+51zyaqk5KaXeiLi77zXg9ymlVH6+jdr+HhjAkpTSZ3Z6IeIM4ALgT8hb986v4bqSJKkJuC1OkiQ1pfKqoecj4gqAyE4qv3wf8Ony8y7gnhrf/ztgVpWPfQo4KCJOL79nVnkw+F7kFU3bgc8B04dpvwSc3e+ubbuTt9L9l/Lr64BTy6+dChxeru8FvFkOlo4jrzgazmA/S3/3A/Mi4qjyZ86MiGPKq7v2SindRg7QThrqIpIkqTkZLkmSpGbWBXwxIh4B1gCXlutfBb4QEY+Sw57B7sI22PtvAq6LiF9HxJF9J6eUtpBnKn2v/J4l5JVDPwSuLNeOo7I6qqqU0nvkQdvdEfE08Bp5wHepfMotwD4RsYa8Wujpcv12YEZErAVuIIdCw6n6s+zQzybg88BPyr+zFeWfYxbwi3JtOXDNCD5PkiQ1maisjpYkSdJEFBGfBP4ROC+ltL7ofiRJkvozXJIkSZIkSVLd3BYnSZIkSZKkuhkuSZIkSZIkqW6GS5IkSZIkSaqb4ZIkSZIkSZLqZrgkSZIkSZKkuhkuSZIkSZIkqW7/D8OzhNzL1qbmAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 1440x504 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "with plt.rc_context():\n",
    "    plt.rc(\"figure\", figsize=(20,7))\n",
    "    sm.qqplot(mdl1.resid, line='r');"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {},
   "outputs": [],
   "source": [
    "smr = mdl1.get_prediction(sm.add_constant(beauty_df_mdl1.drop(columns=['courseevaluation']))).summary_frame(alpha=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>mean</th>\n",
       "      <th>mean_se</th>\n",
       "      <th>mean_ci_lower</th>\n",
       "      <th>mean_ci_upper</th>\n",
       "      <th>obs_ci_lower</th>\n",
       "      <th>obs_ci_upper</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>3.776463</td>\n",
       "      <td>0.086540</td>\n",
       "      <td>3.776463</td>\n",
       "      <td>3.776463</td>\n",
       "      <td>3.776463</td>\n",
       "      <td>3.776463</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>4.008799</td>\n",
       "      <td>0.051027</td>\n",
       "      <td>4.008799</td>\n",
       "      <td>4.008799</td>\n",
       "      <td>4.008799</td>\n",
       "      <td>4.008799</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>4.093508</td>\n",
       "      <td>0.057810</td>\n",
       "      <td>4.093508</td>\n",
       "      <td>4.093508</td>\n",
       "      <td>4.093508</td>\n",
       "      <td>4.093508</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3.917908</td>\n",
       "      <td>0.063137</td>\n",
       "      <td>3.917908</td>\n",
       "      <td>3.917908</td>\n",
       "      <td>3.917908</td>\n",
       "      <td>3.917908</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>3.994575</td>\n",
       "      <td>0.066077</td>\n",
       "      <td>3.994575</td>\n",
       "      <td>3.994575</td>\n",
       "      <td>3.994575</td>\n",
       "      <td>3.994575</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>458</th>\n",
       "      <td>4.036450</td>\n",
       "      <td>0.096015</td>\n",
       "      <td>4.036450</td>\n",
       "      <td>4.036450</td>\n",
       "      <td>4.036450</td>\n",
       "      <td>4.036450</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>459</th>\n",
       "      <td>4.092191</td>\n",
       "      <td>0.071801</td>\n",
       "      <td>4.092191</td>\n",
       "      <td>4.092191</td>\n",
       "      <td>4.092191</td>\n",
       "      <td>4.092191</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>460</th>\n",
       "      <td>3.395865</td>\n",
       "      <td>0.116270</td>\n",
       "      <td>3.395865</td>\n",
       "      <td>3.395865</td>\n",
       "      <td>3.395865</td>\n",
       "      <td>3.395865</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>461</th>\n",
       "      <td>3.412106</td>\n",
       "      <td>0.116807</td>\n",
       "      <td>3.412106</td>\n",
       "      <td>3.412106</td>\n",
       "      <td>3.412106</td>\n",
       "      <td>3.412106</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>462</th>\n",
       "      <td>3.426509</td>\n",
       "      <td>0.111327</td>\n",
       "      <td>3.426509</td>\n",
       "      <td>3.426509</td>\n",
       "      <td>3.426509</td>\n",
       "      <td>3.426509</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>463 rows × 6 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "         mean   mean_se  mean_ci_lower  mean_ci_upper  obs_ci_lower  \\\n",
       "0    3.776463  0.086540       3.776463       3.776463      3.776463   \n",
       "1    4.008799  0.051027       4.008799       4.008799      4.008799   \n",
       "2    4.093508  0.057810       4.093508       4.093508      4.093508   \n",
       "3    3.917908  0.063137       3.917908       3.917908      3.917908   \n",
       "4    3.994575  0.066077       3.994575       3.994575      3.994575   \n",
       "..        ...       ...            ...            ...           ...   \n",
       "458  4.036450  0.096015       4.036450       4.036450      4.036450   \n",
       "459  4.092191  0.071801       4.092191       4.092191      4.092191   \n",
       "460  3.395865  0.116270       3.395865       3.395865      3.395865   \n",
       "461  3.412106  0.116807       3.412106       3.412106      3.412106   \n",
       "462  3.426509  0.111327       3.426509       3.426509      3.426509   \n",
       "\n",
       "     obs_ci_upper  \n",
       "0        3.776463  \n",
       "1        4.008799  \n",
       "2        4.093508  \n",
       "3        3.917908  \n",
       "4        3.994575  \n",
       "..            ...  \n",
       "458      4.036450  \n",
       "459      4.092191  \n",
       "460      3.395865  \n",
       "461      3.412106  \n",
       "462      3.426509  \n",
       "\n",
       "[463 rows x 6 columns]"
      ]
     },
     "execution_count": 60,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "smr"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [],
   "source": [
    "olsinf = mdl1.get_influence()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x504 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "with plt.rc_context():\n",
    "    plt.rc(\"figure\", figsize=(20,7))\n",
    "    olsinf.plot_influence();"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [],
   "source": [
    "from statsmodels.stats.outliers_influence import summary_table\n",
    "\n",
    "smr1 = summary_table(mdl1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>dfb_const</th>\n",
       "      <th>dfb_tenured</th>\n",
       "      <th>dfb_tenuretrack</th>\n",
       "      <th>dfb_minority</th>\n",
       "      <th>dfb_age</th>\n",
       "      <th>dfb_didevaluation</th>\n",
       "      <th>dfb_female</th>\n",
       "      <th>dfb_formal</th>\n",
       "      <th>dfb_fulldept</th>\n",
       "      <th>dfb_nonenglish</th>\n",
       "      <th>dfb_students</th>\n",
       "      <th>dfb_blkandwhite</th>\n",
       "      <th>cooks_d</th>\n",
       "      <th>standard_resid</th>\n",
       "      <th>hat_diag</th>\n",
       "      <th>dffits_internal</th>\n",
       "      <th>student_resid</th>\n",
       "      <th>dffits</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>-0.018454</td>\n",
       "      <td>-0.050608</td>\n",
       "      <td>0.049891</td>\n",
       "      <td>0.116217</td>\n",
       "      <td>-0.010086</td>\n",
       "      <td>-0.071315</td>\n",
       "      <td>0.033917</td>\n",
       "      <td>-0.005104</td>\n",
       "      <td>0.037641</td>\n",
       "      <td>-0.059326</td>\n",
       "      <td>0.074857</td>\n",
       "      <td>-0.003400</td>\n",
       "      <td>0.002740</td>\n",
       "      <td>1.047395</td>\n",
       "      <td>0.029102</td>\n",
       "      <td>0.181338</td>\n",
       "      <td>1.047508</td>\n",
       "      <td>0.181358</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>-0.014157</td>\n",
       "      <td>0.000163</td>\n",
       "      <td>0.030439</td>\n",
       "      <td>-0.019882</td>\n",
       "      <td>0.041013</td>\n",
       "      <td>0.027542</td>\n",
       "      <td>-0.018247</td>\n",
       "      <td>-0.028681</td>\n",
       "      <td>0.002577</td>\n",
       "      <td>-0.003457</td>\n",
       "      <td>-0.035473</td>\n",
       "      <td>-0.023141</td>\n",
       "      <td>0.000807</td>\n",
       "      <td>0.973233</td>\n",
       "      <td>0.010118</td>\n",
       "      <td>0.098396</td>\n",
       "      <td>0.973176</td>\n",
       "      <td>0.098390</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.013967</td>\n",
       "      <td>-0.011556</td>\n",
       "      <td>-0.009985</td>\n",
       "      <td>0.015037</td>\n",
       "      <td>-0.011295</td>\n",
       "      <td>-0.060939</td>\n",
       "      <td>0.022153</td>\n",
       "      <td>0.025589</td>\n",
       "      <td>0.003063</td>\n",
       "      <td>-0.005106</td>\n",
       "      <td>0.052452</td>\n",
       "      <td>0.013686</td>\n",
       "      <td>0.000668</td>\n",
       "      <td>-0.780803</td>\n",
       "      <td>0.012987</td>\n",
       "      <td>-0.089563</td>\n",
       "      <td>-0.780465</td>\n",
       "      <td>-0.089525</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0.012886</td>\n",
       "      <td>0.051595</td>\n",
       "      <td>-0.015966</td>\n",
       "      <td>-0.024061</td>\n",
       "      <td>-0.035247</td>\n",
       "      <td>0.019772</td>\n",
       "      <td>0.050889</td>\n",
       "      <td>-0.013608</td>\n",
       "      <td>0.018456</td>\n",
       "      <td>0.011413</td>\n",
       "      <td>-0.018613</td>\n",
       "      <td>-0.026958</td>\n",
       "      <td>0.000756</td>\n",
       "      <td>0.759115</td>\n",
       "      <td>0.015491</td>\n",
       "      <td>0.095221</td>\n",
       "      <td>0.758758</td>\n",
       "      <td>0.095177</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>-0.002223</td>\n",
       "      <td>-0.040804</td>\n",
       "      <td>0.043958</td>\n",
       "      <td>-0.034854</td>\n",
       "      <td>-0.018686</td>\n",
       "      <td>0.023618</td>\n",
       "      <td>0.032403</td>\n",
       "      <td>-0.005405</td>\n",
       "      <td>0.025869</td>\n",
       "      <td>-0.008359</td>\n",
       "      <td>-0.019647</td>\n",
       "      <td>-0.026202</td>\n",
       "      <td>0.000935</td>\n",
       "      <td>0.806076</td>\n",
       "      <td>0.016967</td>\n",
       "      <td>0.105899</td>\n",
       "      <td>0.805763</td>\n",
       "      <td>0.105858</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>458</th>\n",
       "      <td>-0.111905</td>\n",
       "      <td>0.081627</td>\n",
       "      <td>-0.078267</td>\n",
       "      <td>0.042610</td>\n",
       "      <td>0.124035</td>\n",
       "      <td>0.221033</td>\n",
       "      <td>0.092377</td>\n",
       "      <td>0.000446</td>\n",
       "      <td>-0.085880</td>\n",
       "      <td>0.041859</td>\n",
       "      <td>-0.187429</td>\n",
       "      <td>0.020516</td>\n",
       "      <td>0.008731</td>\n",
       "      <td>-1.679235</td>\n",
       "      <td>0.035824</td>\n",
       "      <td>-0.323683</td>\n",
       "      <td>-1.682641</td>\n",
       "      <td>-0.324340</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>459</th>\n",
       "      <td>0.001909</td>\n",
       "      <td>-0.027518</td>\n",
       "      <td>0.022167</td>\n",
       "      <td>-0.010024</td>\n",
       "      <td>-0.015559</td>\n",
       "      <td>-0.009808</td>\n",
       "      <td>-0.024269</td>\n",
       "      <td>-0.007004</td>\n",
       "      <td>0.013688</td>\n",
       "      <td>-0.006282</td>\n",
       "      <td>0.015133</td>\n",
       "      <td>-0.002075</td>\n",
       "      <td>0.000292</td>\n",
       "      <td>0.413816</td>\n",
       "      <td>0.020034</td>\n",
       "      <td>0.059167</td>\n",
       "      <td>0.413436</td>\n",
       "      <td>0.059113</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>460</th>\n",
       "      <td>0.012175</td>\n",
       "      <td>0.006434</td>\n",
       "      <td>-0.005618</td>\n",
       "      <td>-0.009675</td>\n",
       "      <td>-0.006023</td>\n",
       "      <td>-0.004893</td>\n",
       "      <td>-0.008766</td>\n",
       "      <td>0.012748</td>\n",
       "      <td>-0.001735</td>\n",
       "      <td>-0.032627</td>\n",
       "      <td>0.000142</td>\n",
       "      <td>0.004797</td>\n",
       "      <td>0.000174</td>\n",
       "      <td>-0.194146</td>\n",
       "      <td>0.052534</td>\n",
       "      <td>-0.045716</td>\n",
       "      <td>-0.193939</td>\n",
       "      <td>-0.045667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>461</th>\n",
       "      <td>0.027116</td>\n",
       "      <td>0.014544</td>\n",
       "      <td>-0.012755</td>\n",
       "      <td>-0.021140</td>\n",
       "      <td>-0.014104</td>\n",
       "      <td>-0.015374</td>\n",
       "      <td>-0.019123</td>\n",
       "      <td>0.028080</td>\n",
       "      <td>-0.002605</td>\n",
       "      <td>-0.072349</td>\n",
       "      <td>0.004745</td>\n",
       "      <td>0.010946</td>\n",
       "      <td>0.000861</td>\n",
       "      <td>-0.429667</td>\n",
       "      <td>0.053019</td>\n",
       "      <td>-0.101667</td>\n",
       "      <td>-0.429278</td>\n",
       "      <td>-0.101575</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>462</th>\n",
       "      <td>-0.050988</td>\n",
       "      <td>-0.037421</td>\n",
       "      <td>0.038319</td>\n",
       "      <td>0.064299</td>\n",
       "      <td>0.029510</td>\n",
       "      <td>0.019782</td>\n",
       "      <td>0.060906</td>\n",
       "      <td>-0.078003</td>\n",
       "      <td>0.009369</td>\n",
       "      <td>0.224240</td>\n",
       "      <td>-0.004512</td>\n",
       "      <td>-0.041220</td>\n",
       "      <td>0.007808</td>\n",
       "      <td>1.360818</td>\n",
       "      <td>0.048162</td>\n",
       "      <td>0.306104</td>\n",
       "      <td>1.362107</td>\n",
       "      <td>0.306394</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>463 rows × 18 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     dfb_const  dfb_tenured  dfb_tenuretrack  dfb_minority   dfb_age  \\\n",
       "0    -0.018454    -0.050608         0.049891      0.116217 -0.010086   \n",
       "1    -0.014157     0.000163         0.030439     -0.019882  0.041013   \n",
       "2     0.013967    -0.011556        -0.009985      0.015037 -0.011295   \n",
       "3     0.012886     0.051595        -0.015966     -0.024061 -0.035247   \n",
       "4    -0.002223    -0.040804         0.043958     -0.034854 -0.018686   \n",
       "..         ...          ...              ...           ...       ...   \n",
       "458  -0.111905     0.081627        -0.078267      0.042610  0.124035   \n",
       "459   0.001909    -0.027518         0.022167     -0.010024 -0.015559   \n",
       "460   0.012175     0.006434        -0.005618     -0.009675 -0.006023   \n",
       "461   0.027116     0.014544        -0.012755     -0.021140 -0.014104   \n",
       "462  -0.050988    -0.037421         0.038319      0.064299  0.029510   \n",
       "\n",
       "     dfb_didevaluation  dfb_female  dfb_formal  dfb_fulldept  dfb_nonenglish  \\\n",
       "0            -0.071315    0.033917   -0.005104      0.037641       -0.059326   \n",
       "1             0.027542   -0.018247   -0.028681      0.002577       -0.003457   \n",
       "2            -0.060939    0.022153    0.025589      0.003063       -0.005106   \n",
       "3             0.019772    0.050889   -0.013608      0.018456        0.011413   \n",
       "4             0.023618    0.032403   -0.005405      0.025869       -0.008359   \n",
       "..                 ...         ...         ...           ...             ...   \n",
       "458           0.221033    0.092377    0.000446     -0.085880        0.041859   \n",
       "459          -0.009808   -0.024269   -0.007004      0.013688       -0.006282   \n",
       "460          -0.004893   -0.008766    0.012748     -0.001735       -0.032627   \n",
       "461          -0.015374   -0.019123    0.028080     -0.002605       -0.072349   \n",
       "462           0.019782    0.060906   -0.078003      0.009369        0.224240   \n",
       "\n",
       "     dfb_students  dfb_blkandwhite   cooks_d  standard_resid  hat_diag  \\\n",
       "0        0.074857        -0.003400  0.002740        1.047395  0.029102   \n",
       "1       -0.035473        -0.023141  0.000807        0.973233  0.010118   \n",
       "2        0.052452         0.013686  0.000668       -0.780803  0.012987   \n",
       "3       -0.018613        -0.026958  0.000756        0.759115  0.015491   \n",
       "4       -0.019647        -0.026202  0.000935        0.806076  0.016967   \n",
       "..            ...              ...       ...             ...       ...   \n",
       "458     -0.187429         0.020516  0.008731       -1.679235  0.035824   \n",
       "459      0.015133        -0.002075  0.000292        0.413816  0.020034   \n",
       "460      0.000142         0.004797  0.000174       -0.194146  0.052534   \n",
       "461      0.004745         0.010946  0.000861       -0.429667  0.053019   \n",
       "462     -0.004512        -0.041220  0.007808        1.360818  0.048162   \n",
       "\n",
       "     dffits_internal  student_resid    dffits  \n",
       "0           0.181338       1.047508  0.181358  \n",
       "1           0.098396       0.973176  0.098390  \n",
       "2          -0.089563      -0.780465 -0.089525  \n",
       "3           0.095221       0.758758  0.095177  \n",
       "4           0.105899       0.805763  0.105858  \n",
       "..               ...            ...       ...  \n",
       "458        -0.323683      -1.682641 -0.324340  \n",
       "459         0.059167       0.413436  0.059113  \n",
       "460        -0.045716      -0.193939 -0.045667  \n",
       "461        -0.101667      -0.429278 -0.101575  \n",
       "462         0.306104       1.362107  0.306394  \n",
       "\n",
       "[463 rows x 18 columns]"
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "olsinf.summary_frame()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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