Untitled58.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import statsmodels.api as sm\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline\n",
    "import seaborn as sns\n",
    "sns.set()\n",
    "from sklearn.linear_model import LinearRegression\n",
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.preprocessing import MinMaxScaler"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
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       "    }\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>age</th>\n",
       "      <th>sex</th>\n",
       "      <th>bmi</th>\n",
       "      <th>children</th>\n",
       "      <th>smoker</th>\n",
       "      <th>region</th>\n",
       "      <th>expenses</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>19</td>\n",
       "      <td>female</td>\n",
       "      <td>27.9</td>\n",
       "      <td>0</td>\n",
       "      <td>yes</td>\n",
       "      <td>southwest</td>\n",
       "      <td>16884.92</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>18</td>\n",
       "      <td>male</td>\n",
       "      <td>33.8</td>\n",
       "      <td>1</td>\n",
       "      <td>no</td>\n",
       "      <td>southeast</td>\n",
       "      <td>1725.55</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>28</td>\n",
       "      <td>male</td>\n",
       "      <td>33.0</td>\n",
       "      <td>3</td>\n",
       "      <td>no</td>\n",
       "      <td>southeast</td>\n",
       "      <td>4449.46</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>33</td>\n",
       "      <td>male</td>\n",
       "      <td>22.7</td>\n",
       "      <td>0</td>\n",
       "      <td>no</td>\n",
       "      <td>northwest</td>\n",
       "      <td>21984.47</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>32</td>\n",
       "      <td>male</td>\n",
       "      <td>28.9</td>\n",
       "      <td>0</td>\n",
       "      <td>no</td>\n",
       "      <td>northwest</td>\n",
       "      <td>3866.86</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1333</th>\n",
       "      <td>50</td>\n",
       "      <td>male</td>\n",
       "      <td>31.0</td>\n",
       "      <td>3</td>\n",
       "      <td>no</td>\n",
       "      <td>northwest</td>\n",
       "      <td>10600.55</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1334</th>\n",
       "      <td>18</td>\n",
       "      <td>female</td>\n",
       "      <td>31.9</td>\n",
       "      <td>0</td>\n",
       "      <td>no</td>\n",
       "      <td>northeast</td>\n",
       "      <td>2205.98</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1335</th>\n",
       "      <td>18</td>\n",
       "      <td>female</td>\n",
       "      <td>36.9</td>\n",
       "      <td>0</td>\n",
       "      <td>no</td>\n",
       "      <td>southeast</td>\n",
       "      <td>1629.83</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1336</th>\n",
       "      <td>21</td>\n",
       "      <td>female</td>\n",
       "      <td>25.8</td>\n",
       "      <td>0</td>\n",
       "      <td>no</td>\n",
       "      <td>southwest</td>\n",
       "      <td>2007.95</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1337</th>\n",
       "      <td>61</td>\n",
       "      <td>female</td>\n",
       "      <td>29.1</td>\n",
       "      <td>0</td>\n",
       "      <td>yes</td>\n",
       "      <td>northwest</td>\n",
       "      <td>29141.36</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1338 rows × 7 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      age     sex   bmi  children smoker     region  expenses\n",
       "0      19  female  27.9         0    yes  southwest  16884.92\n",
       "1      18    male  33.8         1     no  southeast   1725.55\n",
       "2      28    male  33.0         3     no  southeast   4449.46\n",
       "3      33    male  22.7         0     no  northwest  21984.47\n",
       "4      32    male  28.9         0     no  northwest   3866.86\n",
       "...   ...     ...   ...       ...    ...        ...       ...\n",
       "1333   50    male  31.0         3     no  northwest  10600.55\n",
       "1334   18  female  31.9         0     no  northeast   2205.98\n",
       "1335   18  female  36.9         0     no  southeast   1629.83\n",
       "1336   21  female  25.8         0     no  southwest   2007.95\n",
       "1337   61  female  29.1         0    yes  northwest  29141.36\n",
       "\n",
       "[1338 rows x 7 columns]"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data= pd.read_csv(r\"C:\\Users\\user\\Desktop\\insurance.csv\")\n",
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 1338 entries, 0 to 1337\n",
      "Data columns (total 7 columns):\n",
      " #   Column    Non-Null Count  Dtype  \n",
      "---  ------    --------------  -----  \n",
      " 0   age       1338 non-null   int64  \n",
      " 1   sex       1338 non-null   object \n",
      " 2   bmi       1338 non-null   float64\n",
      " 3   children  1338 non-null   int64  \n",
      " 4   smoker    1338 non-null   object \n",
      " 5   region    1338 non-null   object \n",
      " 6   expenses  1338 non-null   float64\n",
      "dtypes: float64(2), int64(2), object(3)\n",
      "memory usage: 73.3+ KB\n"
     ]
    }
   ],
   "source": [
    "data.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "\n",
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       "\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>age</th>\n",
       "      <th>bmi</th>\n",
       "      <th>children</th>\n",
       "      <th>expenses</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>1338.000000</td>\n",
       "      <td>1338.000000</td>\n",
       "      <td>1338.000000</td>\n",
       "      <td>1338.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>39.207025</td>\n",
       "      <td>30.665471</td>\n",
       "      <td>1.094918</td>\n",
       "      <td>13270.422414</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>14.049960</td>\n",
       "      <td>6.098382</td>\n",
       "      <td>1.205493</td>\n",
       "      <td>12110.011240</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>18.000000</td>\n",
       "      <td>16.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1121.870000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>27.000000</td>\n",
       "      <td>26.300000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>4740.287500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>39.000000</td>\n",
       "      <td>30.400000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>9382.030000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>51.000000</td>\n",
       "      <td>34.700000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>16639.915000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>64.000000</td>\n",
       "      <td>53.100000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>63770.430000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               age          bmi     children      expenses\n",
       "count  1338.000000  1338.000000  1338.000000   1338.000000\n",
       "mean     39.207025    30.665471     1.094918  13270.422414\n",
       "std      14.049960     6.098382     1.205493  12110.011240\n",
       "min      18.000000    16.000000     0.000000   1121.870000\n",
       "25%      27.000000    26.300000     0.000000   4740.287500\n",
       "50%      39.000000    30.400000     1.000000   9382.030000\n",
       "75%      51.000000    34.700000     2.000000  16639.915000\n",
       "max      64.000000    53.100000     5.000000  63770.430000"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='sex', ylabel='age'>"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.boxplot( x= 'sex', y ='age', data= data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='smoker', ylabel='age'>"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAYAAAAEJCAYAAACdePCvAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjMuMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8vihELAAAACXBIWXMAAAsTAAALEwEAmpwYAAAVn0lEQVR4nO3de3BU9d3H8c9ms1yDQEJ2yGiIyKQO0EGQWiclskAxDUm3IDKotKmXaQnVBpEplWSS1tJCg2JjGcwUi8WSkQEtwcQI6TBeUjEgtdORImrRJgtUCGvChgBDLrvn+YOnsakQF8zhhPzer/82eznfhZO895zdc9ZlWZYlAIBxYpweAADgDAIAAIYiAABgKAIAAIYiAABgKAIAAIYiAABgqFinB7hUJ0+eUSTCoQsAEI2YGJeGDx98weuuugBEIhYBAIAewC4gADAUAQAAQxEAADAUAQAAQxEAADAUAQAAQ111HwO92r311l+0e3eN02OouTkkSRo6dJijc6Sn+zRlylRHZ8BnesP62VvWTanvr59sARiqublZzc3NTo8BfA7r5pXjutq+Eayx8TQHgvWA1at/KUl69NEihycBumLd7FkxMS4lJMRd+LorPAsAoJcgAABgKAIAAIYiAABgKAIAAIYiAABgKAIAAIYiAABgKAIAAIYiAABgKAIAAIayNQCvvfaa5s6dq1mzZulXv/qVJKm2tlZ+v18ZGRkqKSmxc/EAgG7YFoAjR47o5z//uUpLS1VZWamDBw+qpqZGBQUFKi0t1Y4dO3TgwAHV1Dh/amQAMJFtAdi1a5eysrI0cuRIeTwelZSUaODAgUpJSVFycrJiY2Pl9/tVXV1t1wgAgG7Y9oUwgUBAHo9HixYt0rFjxzRt2jSlpqYqMTGx8zZer1cNDQ12jQAA6IZtAQiHw3rnnXdUVlamQYMG6Uc/+pEGDBggl8vVeRvLsrpcjsbFzmuNS+PxuCVJiYlDHJ4E6Ip188qxLQAjRoxQWlqa4uPjJUkzZ85UdXW13G53522CwaC8Xu8lPS5fCNMz2tvDkqRgsMXhSYCuWDd7liNfCDN9+nTt3r1bp06dUjgc1ptvvqnMzEzV1dUpEAgoHA6rqqpKU6f23e/bBIDezLYtgJtuukk/+MEPtGDBArW3t2vKlCm65557dMMNNygvL0+tra3y+XzKzMy0awQAQDdsC4AkzZs3T/Pmzevys7S0NFVWVtq5WABAFDgSGAAMRQAAwFAEAAAMRQAAwFAEAAAMRQAAwFAEAAAMRQAAwFAEAAAMRQAAwFAEAAAMRQAAwFAEAAAMRQAAwFAEAAAMRQAAwFAEAAAMRQAAwFAEAAAMRQAAwFAEAAAMRQAAwFAEAAAMRQAAwFAEAAAMRQAAwFAEAAAMRQAAwFCxTg8AQNq8eZOOHAk4PUavcPjw+X+H1at/6fAkvUNycooWLPi+LY9NAIBe4MiRgOo/+kAj4/iVHKSIJOnc8Y8cnsR5x0932Pr4rG1ALzEyLlb3T4h3egz0Ihv3N9n6+LwHAACGIgAAYCgCAACGsvU9gJycHDU1NSk29vxiVqxYoTNnzujXv/61WltbNWvWLD3yyCN2jgAAuAjbAmBZlurr6/X66693BuDcuXPKzMxUWVmZkpKSlJubq5qaGvl8PrvGAABchG0B+Ne//iVJeuCBBxQKhTR//nx95StfUUpKipKTkyVJfr9f1dXVBAAAHGDbewCnTp1SWlqann76aT333HPasmWLPvnkEyUmJnbexuv1qqGhwa4RAADdsG0LYNKkSZo0aVLn5Xnz5mnt2rWaPHly588sy5LL5bqkx01IiOuxGU3m8bglSYmJQxyeBNL5/49zTg+BXsnjcdv2e2pbAN555x21t7crLS1N0vk/9tdee62CwWDnbYLBoLxe7yU9bmPjaUUiVo/OaqL29rAkKRhscXgSSJ/9fwD/q709/KV+T2NiXBd94WzbLqCWlhY9/vjjam1t1enTp7V9+3YtXbpUdXV1CgQCCofDqqqq0tSpU+0aAQDQDdu2AKZPn653331Xc+bMUSQS0YIFCzRp0iQVFxcrLy9Pra2t8vl8yszMtGuEz+GEW5/hhFtd2XnCLaC3svU4gCVLlmjJkiVdfpaWlqbKyko7F3tRR44E9OGhj+QeMMyR5fcmkfD59wA+OvKpw5M4L3wu5PQIgCOMOxmce8AwDUr5ptNjoBc5G3jV6REAR3AqCAAwFAEAAEMRAAAwFAEAAEMRAAAwFAEAAEMRAAAwFAEAAEMRAAAwFAEAAEMRAAAwFAEAAEMRAAAwFAEAAEMRAAAwFAEAAEMRAAAwFAEAAEMRAAAwFAEAAEMRAAAwFAEAAEMRAAAwFAEAAEMRAAAwVNQB2L9/v7Zs2aK2tjb9/e9/t3MmAMAVEFUAysvLlZ+frw0bNqilpUUPPvigXnjhBbtnAwDYKKoAlJWVaevWrYqLi1NCQoLKy8v1xz/+0e7ZAAA2iioAMTExiouL67yclJQkt9tt21AAAPtFFYBhw4bp/fffl8vlkiRVVlZq6NChtg4GALBXbDQ3Kigo0MMPP6zDhw8rPT1d/fv3V2lpqd2zAQBsFFUAxowZo4qKCtXX1yscDmv06NHyeDx2zwYAsFFUAVi3bl2Xyy6XSwMHDlRqaqpuu+02WwYDANgrqvcA/vnPf2rr1q0KhUJqaWnRtm3b9Prrr2vt2rV6+umnu73v6tWrtXz5cklSbW2t/H6/MjIyVFJS8uWnBwBctqgC0NjYqPLychUWFio/P1/btm2Ty+XS888/r+rq6oveb8+ePdq+fbsk6dy5cyooKFBpaal27NihAwcOqKampmeeBQDgkkUVgFAopMTExM7Lw4cPVygUUr9+/RQbe+G9SKFQSCUlJVq0aJGk80cSp6SkKDk5WbGxsfL7/d3GAwBgr6jeA0hOTtaTTz6p+fPnS5JefPFFjRo1Su+++65iYi7ckJ/97Gd65JFHdOzYMUnSiRMnukTE6/WqoaHhy84P9AnNzSGdPN2hjfubnB4Fvcjx0x0a3hyy7fGjCsCqVau0cuVKzZ07V263W9OmTdPKlSv1yiuv6NFHH/3c7V988UUlJSUpLS1N5eXlkqRIJNJ5HIEkWZbV5XK0EhLivvhGF+HxcPAaLszjcSsxcYhjy3e7OS8jLsztjrFt3YwqAIFAQGfOnNHYsWNlWZaOHDmi2bNn64033rjg7Xfs2KFgMKjZs2erublZZ8+e1b///e8uRw8Hg0F5vd5LHrix8bQiEeuS7ydJ7e3hy7of+r729rCCwRbHlh8Xd41i407o/gnxjs2A3mfj/iYNiLvmS62bMTGui75wjuplR2FhoW6++WadPXtW3/nOdzRkyBBlZGRc9PYbN25UVVWVKioqtHjxYs2YMUMbNmxQXV2dAoGAwuGwqqqqNHXq1Mt7RgCALy2qLQCXy6WFCxfq5MmTuuGGG+T3+3XnnXde0oL69++v4uJi5eXlqbW1VT6fT5mZmZc1NADgy4sqAIMHD5YkjRo1SocOHdLkyZMv+ubv/5o7d67mzp0rSUpLS1NlZeVljgoA6ElRBWDChAlasmSJHn74YeXm5qq+vv6iH/8EAFwdonoZX1BQoPvuu0+jR49WQUGBIpGInnzySbtnAwDYKOr3ACZOnChJmjZtmqZNm2bjSPZpbg4pfC6ks4FXnR4FvUj4XEjNzWzRwjx8+BgADGXUy56hQ4cpeKpDg1K+6fQo6EXOBl7V0KHDnB4DuOLYAgAAQxEAADAUAQAAQxEAADAUAQAAQxEAADAUAQAAQxEAADAUAQAAQxEAADAUAQAAQxEAADAUAQAAQxEAADAUAQAAQxEAADAUAQAAQxEAADAUAQAAQxEAADAUAQAAQxEAADAUAQAAQxEAADAUAQAAQxEAADAUAQAAQxEAADAUAQAAQ9kagN/+9rfKyspSdna2Nm7cKEmqra2V3+9XRkaGSkpK7Fw8AKAbsXY98L59+7R3715VVlaqo6NDWVlZSktLU0FBgcrKypSUlKTc3FzV1NTI5/PZNQYA4CJs2wL4+te/rk2bNik2NlaNjY0Kh8M6deqUUlJSlJycrNjYWPn9flVXV9s1AgCgG7buAvJ4PFq7dq2ys7OVlpamEydOKDExsfN6r9erhoYGO0cAAFyEbbuA/mPx4sX64Q9/qEWLFqm+vl4ul6vzOsuyulyORkJC3GXP4vG4L/u+6Ns8HrcSE4c4uvxzji0dvZmd66ZtAfj444/V1tamsWPHauDAgcrIyFB1dbXc7s/+CAeDQXm93kt63MbG04pErMuaqb09fFn3Q9/X3h5WMNji6PKBC/my62ZMjOuiL5xt2wV09OhRFRYWqq2tTW1tbXr11Vd19913q66uToFAQOFwWFVVVZo6dapdIwAAumHbFoDP59P+/fs1Z84cud1uZWRkKDs7W/Hx8crLy1Nra6t8Pp8yMzPtGgEA0A1b3wPIy8tTXl5el5+lpaWpsrLSzsUCAKLAkcAAYCgCAACGIgAAYCgCAACGIgAAYCgCAACGIgAAYCjbzwXU24TPhXQ28KrTYzgu0nH+zDMxsQMcnsR54XMhSSOcHgO44owKQHJyitMj9BqHDwckSaOS+cMnjegV68bx0x3auL/J6TEcd7otIkmK68cOiuOnO3S9jY9vVAAWLPi+0yP0GqtX/1KS9OijRQ5PAokXJ//txP+/OBkxkn+T62XvumFUAIDeihcnn+HFyZXDNhYAGIoAAIChCAAAGIoAAIChCAAAGIoAAIChCAAAGIoAAIChCAAAGIoAAIChCAAAGIoAAIChCAAAGIoAAIChCAAAGIoAAIChCAAAGIoAAIChCAAAGIoAAIChCAAAGIoAAIChCAAAGMrWAKxbt07Z2dnKzs7W448/Lkmqra2V3+9XRkaGSkpK7Fw8AKAbtgWgtrZWu3fv1vbt2/XSSy/pvffeU1VVlQoKClRaWqodO3bowIEDqqmpsWsEAEA3bAtAYmKili9frn79+snj8WjMmDGqr69XSkqKkpOTFRsbK7/fr+rqartGAAB0w7YApKamauLEiZKk+vp67dy5Uy6XS4mJiZ238Xq9amhosGsEAEA3Yu1ewKFDh5Sbm6uf/vSncrvdqq+v77zOsiy5XK5LeryEhLgentBMHo9bkpSYOMThSYCuWDevHFsD8Le//U2LFy9WQUGBsrOztW/fPgWDwc7rg8GgvF7vJT1mY+NpRSJWT49qnPb2sCQpGGxxeBKgK9bNnhUT47roC2fbdgEdO3ZMDz30kNasWaPs7GxJ0k033aS6ujoFAgGFw2FVVVVp6tSpdo0AAOiGbVsAzz77rFpbW1VcXNz5s7vvvlvFxcXKy8tTa2urfD6fMjMz7RoBANAN2wJQWFiowsLCC15XWVlp12IBAFHiSGAAMBQBAABDuSzLuqo+UnO1fwrorbf+ot27nT/6+fDhgCRp1KgUR+dIT/dpyhQ+CNBb9Ib1s7esm1LfWD+7+xSQ7ccBoHcaOnSo0yMAF8S6eeWwBQAAfZgjxwEAAHo3AgAAhiIAAGAoAgAAhiIAAGAoAgAAhiIAAGCoq+5AsJiYS/sCGQAwWXd/M6+6A8EAAD2DXUAAYCgCAACGIgAAYCgCAACGIgAAYCgCAACGIgAAYCgCAACGIgAAYCgCAACGIgAAYKir7mRwiM6yZct0yy23aP78+ZKknJwc/eQnP9FTTz2lUCikAQMGqKioSOPGjdPLL7+sDRs2yO1267rrrtMTTzyh/v37O/wMYIq3335b69ev14ABA/Txxx/rxhtv1Jo1a/Tyyy9r48aNcrlcGj9+vIqKijR48GCnx+1bLPRJe/bssRYsWGBZlmUdPXrUysrKsu666y7rvffesyzLsg4dOmRlZGRYlmVZM2bMsD799FPLsiyruLjYOnjwoDNDw0h79+61Jk6caB07dswKh8PWnXfeaW3atMmaOXOm1dTUZFmWZT322GNWcXGxw5P2PWwB9FG33nqrioqKdPToUVVUVGjWrFn63e9+p/z8/M7bnD17VidPntT06dN1zz33aObMmfrWt76lsWPHOjg5TJSamqqRI0dKksaMGaPm5mZNnz5dw4cPlyTdddddXdZd9AwC0Ee5XC7NmTNHr7zyinbu3Kn169frD3/4gyoqKjpvc/z4cQ0bNkyFhYX64IMPVFNTo2XLlunHP/6xZs+e7eD0MM1/73J0uVy65pprdOrUqc6fWZaljo4OJ0br03gTuA+bO3eutmzZoqSkJF177bW6/vrrOwPw1ltv6bvf/a46OjqUkZGh4cOHKzc3V7Nnz9b777/v8OSA9NprrykUCkmSXnjhBd16663ODtQHsQXQhyUlJSkpKUl33HGHJOmJJ57QY489pg0bNsjj8aikpEQej0eLFy/WAw88oP79+yshIUHFxcUOTw7TxcXFKTc3Vzk5OWpvb9f48eP1i1/8wumx+hy+EayPsixLJ06cUE5OjqqqqtSvXz+nRwLQy7ALqI/685//rNmzZ2vp0qX88QdwQWwBAICh2AIAAEMRAAAwFAEAAEMRAKCHLV++XM8++6zTYwBfiAAAgKE4EAzGOnPmjPLz8xUIBBQTE6Px48crOztbTz31lJKSklRXV6eBAwdq4cKFKisrU11dnTIyMlRQUCBJ2rp1q8rKyhQTE6MRI0aoqKhIo0eP7rKMVatW6cMPP1Rpaak8Ho/WrFmjv/71rwqHwxo3bpwKCwsVFxenGTNmaMKECfrwww+1dOlS3X777U78k8AwbAHAWLt27dKZM2dUUVGhP/3pT5Kko0eP6h//+IcWLlyoiooKxcXF6ZlnntH69etVXl6uzZs3q6GhQXv27NGGDRu0adMmVVZW6tvf/rYeeugh/edT1ZZlacWKFfrkk0/0+9//XoMHD9Yzzzwjt9ut8vJyVVZWyuv1as2aNZ3zpKamaufOnfzxxxXDFgCMNXnyZJWUlCgnJ0ff+MY3dO+996qpqUnXXXedxo0bJ0kaNWqUhgwZon79+ik+Pl6DBw9Wc3Oz3nzzTWVlZSk+Pl7S+fMurVy5UkePHpUkPffcc2psbNRLL73UeSDeG2+8oZaWFtXW1kqS2tvblZCQ0DnP1772tSv59AECAHMlJydr165devvtt7V3717df//9WrFixeeOnI6N/fyvSSQS+dzP/vuMlbfccotuvvlm5efna+vWrfJ4PIpEIiooKJDP55N0fhdUa2tr5/0HDRrUk08P+ELsAoKxNm/erPz8fKWnp2vZsmVKT0/XwYMHo7rvbbfdph07dqipqUmStG3bNg0bNkwpKSmSpK9+9av63ve+pyFDhmjdunWSpPT0dD3//PNqa2tTJBJRUVGRfvOb39jz5IAosAUAY82ZM0f79u1TVlaWBg4cqKSkJN14442qrq7+wvtOmTJF9913n+69915FIhHFx8dr/fr1ion57DWVy+XSqlWrNGfOHPl8Pj344INavXq17rjjDoXDYY0dO1bLly+38ykC3eJcQABgKHYBAYChCAAAGIoAAIChCAAAGIoAAIChCAAAGIoAAIChCAAAGOr/ABlIs0VM2lH+AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.boxplot( x= 'smoker', y ='age', data= data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x24ec08d9670>"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 360x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.displot(data.bmi)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='smoker', ylabel='bmi'>"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.boxplot( x= 'smoker', y ='bmi', data= data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='smoker', ylabel='count'>"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.countplot(x= 'smoker',data = data , hue= 'sex')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='smoker', ylabel='count'>"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.countplot(x='smoker', data = data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='children', ylabel='count'>"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAYcAAAEMCAYAAAAvaXplAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjMuMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8vihELAAAACXBIWXMAAAsTAAALEwEAmpwYAAAZoklEQVR4nO3dbXBU5cHG8WvJJgs+gkDcJUxk0opUmLQlDIw2viS+1BAIEYzMFKKkqFiwCp3UCUOTNA4WBNPMkyG1TJkWcXyfSIFgGhcdsJlqsEo+kNLSaoWkJdLNhvdIs3nZfT44buG5IdmtOTmb8P992nPv2d3rEN0r5z67dxyhUCgkAAAuMMLuAACA2EM5AAAMlAMAwEA5AAAMlAMAwEA5AAAMlpbDvn37lJeXpzlz5mjdunWSpIaGBuXm5iorK0uVlZXhfQ8fPqy8vDzNnj1bJSUl6unpsTIaAKAPlpXDP//5Tz311FPavHmzdu/erb/85S+qr69XcXGxNm/erLq6Oh06dEj19fWSpKKiIpWVlWnPnj0KhUKqrq62KhoAoB+WlcM777yjuXPnKikpSfHx8aqsrNSoUaOUkpKiSZMmyel0Kjc3V16vV62trers7FRaWpokKS8vT16v16poAIB+OK164paWFsXHx2vFihU6fvy47rjjDk2ZMkVutzu8j8fjkc/nU1tb20XjbrdbPp/PqmgAgH5YVg69vb06cOCAXnrpJV111VV67LHHNHLkSDkcjvA+oVBIDodDwWDwkuMAAHtYVg7XXnut0tPTNX78eEnSd7/7XXm9XsXFxYX38fv98ng8SkpKkt/vD4+3t7fL4/FE9XonTnQoGGSZKACIxIgRDiUmXn35+6164TvvvFPvvfeezp49q97eXv3hD39Qdna2jh49qpaWFvX29qq2tlYZGRlKTk6Wy+VSY2OjJKmmpkYZGRlWRQMA9MOyM4fp06dr2bJlys/PV3d3t2699VYtXrxY119/vVauXKlAIKDMzExlZ2dLkioqKlRaWqqOjg6lpqaqoKDAqmgAgH44hsuS3UwrAUDkbJtWAgAMXZQDAMBAOQAADJQDAMBg2aeVYsHoMSM10hVvd4yIdQa6de5sp90xAGB4l8NIV7zyV79id4yIvVr+gM6JcgBgP6aVAAAGygEAYKAcAAAGygEAYKAcAAAGygEAYKAcAAAGygEAYKAcAAAGygEAYKAcAAAGygEAYKAcAAAGygEAYKAcAAAGygEAYKAcAAAGygEAYKAcAAAGygEAYKAcAAAGp5VPvmTJEp08eVJO5xcv8/TTT+vzzz/Xhg0bFAgENGfOHBUWFkqSDh8+rJKSEn3++eeaNWuW1q5dG34cAGBwWfbuGwqF1NzcrHfffTf8Jt/Z2ans7Gy99NJLmjhxopYvX676+nplZmaqqKhI69atU1pamoqLi1VdXa38/Hyr4gEA+mDZtNKRI0ckSQ8//LDuvfdevfzyy2pqalJKSoomTZokp9Op3Nxceb1etba2qrOzU2lpaZKkvLw8eb1eq6IBAPphWTmcPXtW6enp+uUvf6kXXnhBr7/+uj777DO53e7wPh6PRz6fT21tbReNu91u+Xw+q6IBAPph2bTSjBkzNGPGjPD2woULVVVVpZkzZ4bHQqGQHA6HgsGgHA6HMR6NxMSrv3roGOB2j7Y7AgBYVw4HDhxQd3e30tPTJX3xhp+cnCy/3x/ex+/3y+PxKCkp6aLx9vZ2eTyeqF7vxIkOBYOhi8aG4hut33/O7ggArgAjRjj6/KXasmmlc+fOqby8XIFAQB0dHdq5c6d+/OMf6+jRo2ppaVFvb69qa2uVkZGh5ORkuVwuNTY2SpJqamqUkZFhVTQAQD8sO3O48847dfDgQS1YsEDBYFD5+fmaMWOGNm7cqJUrVyoQCCgzM1PZ2dmSpIqKCpWWlqqjo0OpqakqKCiwKhoAoB+OUCgU6n+32He5aaX81a/YlCh6r5Y/wLQSgEFh27QSAGDoohwAAAbKAQBgoBwAAAbKAQBgoBwAAAbKAQBgoBwAAAbKAQBgoBwAAAbKAQBgoBwAAAbKAQBgoBwAAAbKAQBgoBwAAAbKAQBgoBwAAAbKAQBgoBwAAAbKAQBgoBwAAAbKAQBgoBwAAAbKAQBgoBwAAAbKAQBgsLwcnn32Wa1Zs0aS1NDQoNzcXGVlZamysjK8z+HDh5WXl6fZs2erpKREPT09VscCAPTB0nLYv3+/du7cKUnq7OxUcXGxNm/erLq6Oh06dEj19fWSpKKiIpWVlWnPnj0KhUKqrq62MhYAoB+WlcPp06dVWVmpFStWSJKampqUkpKiSZMmyel0Kjc3V16vV62trers7FRaWpokKS8vT16v16pYAIAIWFYOZWVlKiws1JgxYyRJbW1tcrvd4fs9Ho98Pp8x7na75fP5rIoFAIiA04onfeONNzRx4kSlp6drx44dkqRgMCiHwxHeJxQKyeFwXHY8WomJV3/14DHA7R5tdwQAsKYc6urq5Pf7NX/+fJ05c0bnz59Xa2ur4uLiwvv4/X55PB4lJSXJ7/eHx9vb2+XxeKJ+zRMnOhQMhi4aG4pvtH7/ObsjALgCjBjh6POXakvKYdu2beHbO3bs0Icffqi1a9cqKytLLS0tuu6661RbW6v7779fycnJcrlcamxs1MyZM1VTU6OMjAwrYgEAImRJOVyKy+XSxo0btXLlSgUCAWVmZio7O1uSVFFRodLSUnV0dCg1NVUFBQWDFQsAcAmOUCgU6n+32He5aaX81a/YlCh6r5Y/wLQSgEHR37QS35AGABgoBwCAgXIAABgoBwCAgXIAABgoBwCAgXIAABgoBwCAgXIAABgoBwCAgXIAABgoBwCAgXIAABgoBwCAgXIAABgoBwCAgXIAABgoBwCAIaJy8Pl8xtjf//73AQ8DAIgNfZbD6dOndfr0aT366KM6c+ZMeLu9vV1PPPHEYGUEAAwyZ193Pvnkk3r//fclSTfffPN/HuR0avbs2dYmAwDYps9y2Lp1qyTpJz/5iTZs2DAogQAA9uuzHL60YcMGtba26syZMwqFQuHx1NRUy4Khb+OuSZAzwWV3jKj0dAV06kyX3TEARCCicqiqqtLWrVuVmJgYHnM4HNq7d69lwdA3Z4JLjeXL7I4RlZmrfyOJcgCGgojKYdeuXXr77bc1YcIEq/MAAGJARB9lnThxIsUAAFeQiM4c0tPTVV5errvvvlsjR44Mj3PNAQCGp4jKYceOHZIkr9cbHovkmsOmTZu0Z88eORwOLVy4UA899JAaGhq0YcMGBQIBzZkzR4WFhZKkw4cPq6SkRJ9//rlmzZqltWvXyumMKB4AYIBF9O67b9++qJ/4ww8/1AcffKDdu3erp6dHc+fOVXp6uoqLi/XSSy9p4sSJWr58uerr65WZmamioiKtW7dOaWlpKi4uVnV1tfLz86N+XQDAVxdROWzbtu2S4w899NBlH3PTTTfpxRdflNPplM/nU29vr86ePauUlBRNmjRJkpSbmyuv16sbbrhBnZ2dSktLkyTl5eWpqqqKcgAAm0RUDh9//HH4dldXlz766COlp6f3+7j4+HhVVVXp+eefV3Z2ttra2uR2u8P3ezwe+Xw+Y9ztdl9yPScAwOCI+EtwF/L5fCopKYnoBVatWqVHH31UK1asUHNzsxwOR/i+UCgkh8OhYDB4yfFoJCZeHdX+scrtHm13BEsN9+MDhov/6orvhAkT1Nra2uc+n376qbq6ujRt2jSNGjVKWVlZ8nq9iouLC+/j9/vl8XiUlJQkv98fHm9vb5fH44kq04kTHQoGQxeNDcU3Ir//XET7DcVjkyI/PgDWGjHC0ecv1VFfcwiFQjp06NBF35a+lGPHjqmqqkqvvfaaJGnv3r1atGiRysvL1dLSouuuu061tbW6//77lZycLJfLpcbGRs2cOVM1NTXKyMiIJBoAwAJRX3OQvvhS3OrVq/t8TGZmppqamrRgwQLFxcUpKytLOTk5Gj9+vFauXKlAIKDMzExlZ2dLkioqKlRaWqqOjg6lpqaqoKDgvzwkAMBX5QhduJJeP1pbW9XT06OUlBQrM/1XLjetlL/6FZsSRe/V8geimlYaimsrMa0ExIYBmVZqaWnRD3/4Q7W1tSkYDGrcuHHasmWLJk+ePGBBAQCxI6K1lZ5++mktW7ZMH330kRobG/XYY49p7dq1VmcDANgkonI4ceKE7rvvvvD2/fffr1OnTlkWCgBgr4jKobe3V6dPnw5vnzx50qo8AIAYENE1hwcffFDf+973NGfOHDkcDtXV1en73/++1dkAADaJ6MwhMzNTktTd3a1PP/1UPp9P99xzj6XBAAD2iejMYc2aNXrggQdUUFCgQCCg1157TcXFxfr1r39tdT4AgA0iOnM4depU+EtpLpdLS5cuvWi5CwDA8BLxBekLV0ltb29XFN+dAwAMMRFNKy1dulQLFizQ7bffLofDoYaGhn6XzwAADF0RlcPChQv1zW9+Ux988IHi4uL0yCOP6Bvf+IbV2QAANol4ye6pU6dq6tSpVmYBAMSIiK45AACuLJQDAMBAOQAADJQDAMBAOQAADBF/WgkYTGOuccmVkGB3jKgEurp09kzA7hjAgKAcEJNcCQlauu1HdseIygsPbZJEOWB4YFoJAGCgHAAABsoBAGCgHAAABsoBAGCgHAAABsoBAGCgHAAABsoBAGCwtByee+455eTkKCcnR+Xl5ZKkhoYG5ebmKisrS5WVleF9Dx8+rLy8PM2ePVslJSXq6emxMhoAoA+WlUNDQ4Pee+897dy5U7t27dKf//xn1dbWqri4WJs3b1ZdXZ0OHTqk+vp6SVJRUZHKysq0Z88ehUIhVVdXWxUNANAPy8rB7XZrzZo1SkhIUHx8vCZPnqzm5malpKRo0qRJcjqdys3NldfrVWtrqzo7O5WWliZJysvLk9frtSoaAKAfli28N2XKlPDt5uZmvfXWW3rwwQfldrvD4x6PRz6fT21tbReNu91u+Xy+qF4vMfHqrx46Brjdo+2OYCmODxgaLF+V9ZNPPtHy5cu1evVqxcXFqbm5OXxfKBSSw+FQMBiUw+EwxqNx4kSHgsHQRWND8X9Uv/9cRPsNxWOTOD4gVowY4ejzl2pLL0g3NjZq6dKlevLJJ3XfffcpKSlJfr8/fL/f75fH4zHG29vb5fF4rIwGAOiDZeVw/PhxPf7446qoqFBOTo4kafr06Tp69KhaWlrU29ur2tpaZWRkKDk5WS6XS42NjZKkmpoaZWRkWBUNANAPy6aVtm7dqkAgoI0bN4bHFi1apI0bN2rlypUKBALKzMxUdna2JKmiokKlpaXq6OhQamqqCgoKrIoGAOiHZeVQWlqq0tLSS963e/duY2zq1Knavn27VXEAAFHgG9IAAAPlAAAwUA4AAAPlAAAwUA4AAAPlAAAwUA4AAAPlAAAwUA4AAAPlAAAwWL5kNwDT2NEJih/psjtGVLo7Azp9rsvuGBgklANgg/iRLtUVPGR3jKjMfXGbRDlcMZhWAgAYKAcAgIFyAAAYKAcAgIFyAAAYKAcAgIFyAAAYKAcAgIFyAAAYKAcAgIFyAAAYKAcAgIFyAAAYKAcAgIFyAAAYLC2Hjo4OzZs3T8eOHZMkNTQ0KDc3V1lZWaqsrAzvd/jwYeXl5Wn27NkqKSlRT0+PlbEAAP2wrBwOHjyoxYsXq7m5WZLU2dmp4uJibd68WXV1dTp06JDq6+slSUVFRSorK9OePXsUCoVUXV1tVSwAQAQsK4fq6mo99dRT8ng8kqSmpialpKRo0qRJcjqdys3NldfrVWtrqzo7O5WWliZJysvLk9frtSoWACAClv2Z0PXr11+03dbWJrfbHd72eDzy+XzGuNvtls/ni/r1EhOv/u/DxhC3e7TdESzF8Q1tw/348B+D9jekg8GgHA5HeDsUCsnhcFx2PFonTnQoGAxdNDYU/0P2+89FtN9QPDaJ4/vScD8+xL4RIxx9/lI9aJ9WSkpKkt/vD2/7/X55PB5jvL29PTwVBQCwx6CVw/Tp03X06FG1tLSot7dXtbW1ysjIUHJyslwulxobGyVJNTU1ysjIGKxYAIBLGLRpJZfLpY0bN2rlypUKBALKzMxUdna2JKmiokKlpaXq6OhQamqqCgoKBisWAOASLC+Hffv2hW+np6dr9+7dxj5Tp07V9u3brY4CAIgQ35AGABgoBwCAgXIAABgoBwCAgXIAABgoBwCAgXIAABgoBwCAgXIAABgoBwCAgXIAABgoBwCAgXIAABgoBwCAgXIAABgoBwCAgXIAABgoBwCAgXIAABgoBwCAgXIAABicdgcAMPxcM2aUElxD5+2lK9CjM2f/bXeMmDJ0fnoAhowEl1PPlGy3O0bEitcvtDtCzGFaCQBg4MwBAKJ0zZgEJbhcdseIWFcgoDNnu6J6DOUAAFFKcLn0vz9ZbneMiP14wxZJ0ZUD00oAAENMlcObb76puXPnKisrS6+88ordcQDgihUz00o+n0+VlZXasWOHEhIStGjRIt1888264YYb7I4GAFecmCmHhoYGfec739HYsWMlSbNnz5bX69UTTzwR0eNHjHBccvzacf8zUBEHxeWO41ISxiRamMQa0RzftVePtzCJNaI5vlHXDu+f3zVjr7IwycCL5tgkaczYofXz+//H19/xOkKhUMjKQJHasmWLzp8/r8LCQknSG2+8oaamJv3sZz+zORkAXHli5ppDMBiUw/GfJguFQhdtAwAGT8yUQ1JSkvx+f3jb7/fL4/HYmAgArlwxUw633HKL9u/fr5MnT+rf//633n77bWVkZNgdCwCuSDFzQXrChAkqLCxUQUGBuru7tXDhQn3729+2OxYAXJFi5oI0ACB2xMy0EgAgdlAOAAAD5QAAMFAOAAAD5RCFK2FhwI6ODs2bN0/Hjh2zO8qAe+6555STk6OcnByVl5fbHWfAbdq0SXPnzlVOTo62bdtmdxxLPPvss1qzZo3dMQbckiVLlJOTo/nz52v+/Pk6ePCg3ZFi56Osse5KWBjw4MGDKi0tVXNzs91RBlxDQ4Pee+897dy5Uw6HQ8uWLdM777yje+65x+5oA+LDDz/UBx98oN27d6unp0dz585VZmamrr/+erujDZj9+/dr586duuOOO+yOMqBCoZCam5v17rvvyumMnbdkzhwidOHCgFdddVV4YcDhpLq6Wk899dSw/Ga62+3WmjVrlJCQoPj4eE2ePFmfffaZ3bEGzE033aQXX3xRTqdTJ06cUG9vr666amgtfNeX06dPq7KyUitWrLA7yoA7cuSIJOnhhx/Wvffeq5dfftnmRF+InZqKcW1tbXK73eFtj8ejpqYmGxMNvPXr19sdwTJTpkwJ325ubtZbb72l1157zcZEAy8+Pl5VVVV6/vnnlZ2drQkTJtgdacCUlZWpsLBQx48ftzvKgDt79qzS09P105/+VN3d3SooKNDXv/513Xrrrbbm4swhQiwMODx88sknevjhh7V69Wp97WtfszvOgFu1apX279+v48ePq7q62u44A+KNN97QxIkTlZ6ebncUS8yYMUPl5eUaPXq0xo8fr4ULF6q+vt7uWJw5RCopKUkHDhwIb7Mw4NDT2NioVatWqbi4WDk5OXbHGVCffvqpurq6NG3aNI0aNUpZWVn629/+ZnesAVFXVye/36/58+frzJkzOn/+vJ555hkVFxfbHW1AHDhwQN3d3eHyC4VCMXHtgTOHCLEw4NB2/PhxPf7446qoqBh2xSBJx44dU2lpqbq6utTV1aW9e/dq5syZdscaENu2bVNtba1qamq0atUq3XXXXcOmGCTp3LlzKi8vVyAQUEdHh3bu3BkTH5Swv56GCBYGHNq2bt2qQCCgjRs3hscWLVqkxYsX25hq4GRmZqqpqUkLFixQXFycsrKyhmUJDkd33nmnDh48qAULFigYDCo/P18zZsywOxYL7wEATEwrAQAMlAMAwEA5AAAMlAMAwEA5AAAMlAPQjz/+8Y+aN2/eJe/btGmTdu3aJUm68cYbdfLkSWOfrVu3DsuVRDG88T0H4Cv40Y9+ZHcEwBKUA/D/bN++Xdu2bdOIESM0btw45eXl6fz58yosLNSRI0cUCAS0bt06zZo1S2vWrNGUKVP0yCOPhB/f3d2tdevWqaGhQYmJiUpMTNTo0aMlfbFu/zXXXKMjR45o8eLFWrBggdavX6+PP/44vITC6tWr5XQ69a1vfUs/+MEP9P7776utrU3Lli1Tfn6+Xf8suMIwrQRc4K9//asqKir0m9/8Rm+++abuuusu/epXv9K//vUvLV26VDU1NVq0aJF+8YtfXPY5Xn31VTU3N+t3v/udnn/+eWMl0TFjxqiurk5LlizRM888o9TUVO3YsUO7du3SqVOnwn+op6urS+PGjdPrr7+uqqoqbdiwQYFAwNLjB77EmQNwgf379+u2227TxIkTJUlLly7VtGnTVFZWpunTp0uSpk6dqt/+9rd9Pse8efOUkJCghIQE5ebmXrQI3qxZs8K3f//73+tPf/qTtm/fLknq7Oy86LnuvvtuSVJqaqq6urp0/vx5uVyugTlYoA+UA3CBuLi4i5Zi7+zs1JEjRxQfHx8eczgcimbVmbi4uIu2L/wjPMFgUJs2bdLkyZMlfbG2/4Wv/2URfDnGajcYLEwrARe4+eabtX//frW1tUmSXn/9df385z+P6jluv/127dq1S4FAQIFAQHV1dZfd97bbbtMLL7ygUCikrq4uPfbYYzHzl8BwZePMAbjAjTfeqKKiIi1btkzSF39edO3atdqyZUvEz7Fo0SL94x//0Lx58zR27FilpKRcdt+SkhKtX79eubm56u7u1i233BJ+bcBOrMoKADAwrQQAMFAOAAAD5QAAMFAOAAAD5QAAMFAOAAAD5QAAMFAOAADD/wE89+exdq+lKQAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.countplot( x='children', data = data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x24ec1b95940>"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 360x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.displot(data.age)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x24ec1c32be0>"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 360x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.displot(data.expenses)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.PairGrid at 0x24ec1be90a0>"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 20 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.pairplot(data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.heatmap(data.corr(), annot = True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "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>age</th>\n",
       "      <th>sex</th>\n",
       "      <th>bmi</th>\n",
       "      <th>children</th>\n",
       "      <th>smoker</th>\n",
       "      <th>region</th>\n",
       "      <th>expenses</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>19</td>\n",
       "      <td>0</td>\n",
       "      <td>27.9</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>southwest</td>\n",
       "      <td>16884.92</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>18</td>\n",
       "      <td>1</td>\n",
       "      <td>33.8</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>southeast</td>\n",
       "      <td>1725.55</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>28</td>\n",
       "      <td>1</td>\n",
       "      <td>33.0</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>southeast</td>\n",
       "      <td>4449.46</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>33</td>\n",
       "      <td>1</td>\n",
       "      <td>22.7</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>northwest</td>\n",
       "      <td>21984.47</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>32</td>\n",
       "      <td>1</td>\n",
       "      <td>28.9</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>northwest</td>\n",
       "      <td>3866.86</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1333</th>\n",
       "      <td>50</td>\n",
       "      <td>1</td>\n",
       "      <td>31.0</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>northwest</td>\n",
       "      <td>10600.55</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1334</th>\n",
       "      <td>18</td>\n",
       "      <td>0</td>\n",
       "      <td>31.9</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>northeast</td>\n",
       "      <td>2205.98</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1335</th>\n",
       "      <td>18</td>\n",
       "      <td>0</td>\n",
       "      <td>36.9</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>southeast</td>\n",
       "      <td>1629.83</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1336</th>\n",
       "      <td>21</td>\n",
       "      <td>0</td>\n",
       "      <td>25.8</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>southwest</td>\n",
       "      <td>2007.95</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1337</th>\n",
       "      <td>61</td>\n",
       "      <td>0</td>\n",
       "      <td>29.1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>northwest</td>\n",
       "      <td>29141.36</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1338 rows × 7 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      age  sex   bmi  children  smoker     region  expenses\n",
       "0      19    0  27.9         0       1  southwest  16884.92\n",
       "1      18    1  33.8         1       0  southeast   1725.55\n",
       "2      28    1  33.0         3       0  southeast   4449.46\n",
       "3      33    1  22.7         0       0  northwest  21984.47\n",
       "4      32    1  28.9         0       0  northwest   3866.86\n",
       "...   ...  ...   ...       ...     ...        ...       ...\n",
       "1333   50    1  31.0         3       0  northwest  10600.55\n",
       "1334   18    0  31.9         0       0  northeast   2205.98\n",
       "1335   18    0  36.9         0       0  southeast   1629.83\n",
       "1336   21    0  25.8         0       0  southwest   2007.95\n",
       "1337   61    0  29.1         0       1  northwest  29141.36\n",
       "\n",
       "[1338 rows x 7 columns]"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "region= pd.get_dummies(data.region, drop_first=True)\n",
    "data['sex']= data.sex.map({'male':1,'female':0})\n",
    "data['smoker']= data.smoker.map({'yes':1,'no':0})\n",
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
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       "<p>1338 rows × 3 columns</p>\n",
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      "text/plain": [
       "      northwest  southeast  southwest\n",
       "0             0          0          1\n",
       "1             0          1          0\n",
       "2             0          1          0\n",
       "3             1          0          0\n",
       "4             1          0          0\n",
       "...         ...        ...        ...\n",
       "1333          1          0          0\n",
       "1334          0          0          0\n",
       "1335          0          1          0\n",
       "1336          0          0          1\n",
       "1337          1          0          0\n",
       "\n",
       "[1338 rows x 3 columns]"
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     },
     "execution_count": 17,
     "metadata": {},
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   ],
   "source": [
    "region"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<p>1338 rows × 9 columns</p>\n",
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      ],
      "text/plain": [
       "      age  sex   bmi  children  smoker  expenses  northwest  southeast  \\\n",
       "0      19    0  27.9         0       1  16884.92          0          0   \n",
       "1      18    1  33.8         1       0   1725.55          0          1   \n",
       "2      28    1  33.0         3       0   4449.46          0          1   \n",
       "3      33    1  22.7         0       0  21984.47          1          0   \n",
       "4      32    1  28.9         0       0   3866.86          1          0   \n",
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       "1336   21    0  25.8         0       0   2007.95          0          0   \n",
       "1337   61    0  29.1         0       1  29141.36          1          0   \n",
       "\n",
       "      southwest  \n",
       "0             1  \n",
       "1             0  \n",
       "2             0  \n",
       "3             0  \n",
       "4             0  \n",
       "...         ...  \n",
       "1333          0  \n",
       "1334          0  \n",
       "1335          0  \n",
       "1336          1  \n",
       "1337          0  \n",
       "\n",
       "[1338 rows x 9 columns]"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data = data.drop('region',1)\n",
    "new_data= pd.concat([data,region],axis = 1)\n",
    "new_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <td>0</td>\n",
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       "      <td>1</td>\n",
       "      <td>29141.36</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1338 rows × 6 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      age  sex   bmi  children  smoker  expenses\n",
       "0      19    0  27.9         0       1  16884.92\n",
       "1      18    1  33.8         1       0   1725.55\n",
       "2      28    1  33.0         3       0   4449.46\n",
       "3      33    1  22.7         0       0  21984.47\n",
       "4      32    1  28.9         0       0   3866.86\n",
       "...   ...  ...   ...       ...     ...       ...\n",
       "1333   50    1  31.0         3       0  10600.55\n",
       "1334   18    0  31.9         0       0   2205.98\n",
       "1335   18    0  36.9         0       0   1629.83\n",
       "1336   21    0  25.8         0       0   2007.95\n",
       "1337   61    0  29.1         0       1  29141.36\n",
       "\n",
       "[1338 rows x 6 columns]"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "y = data['expenses']\n",
    "X = data.drop('expenses',1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "X_train,X_test,y_train,y_test = train_test_split(X,y, test_size = 0.2, random_state =100)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1070, 5)"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X_train.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(268, 5)"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X_test.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table class=\"simpletable\">\n",
       "<caption>OLS Regression Results</caption>\n",
       "<tr>\n",
       "  <th>Dep. Variable:</th>        <td>expenses</td>     <th>  R-squared (uncentered):</th>      <td>   0.866</td> \n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Model:</th>                   <td>OLS</td>       <th>  Adj. R-squared (uncentered):</th> <td>   0.866</td> \n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Method:</th>             <td>Least Squares</td>  <th>  F-statistic:       </th>          <td>   1382.</td> \n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Date:</th>             <td>Thu, 25 Mar 2021</td> <th>  Prob (F-statistic):</th>           <td>  0.00</td>  \n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Time:</th>                 <td>12:18:44</td>     <th>  Log-Likelihood:    </th>          <td> -10909.</td> \n",
       "</tr>\n",
       "<tr>\n",
       "  <th>No. Observations:</th>      <td>  1070</td>      <th>  AIC:               </th>          <td>2.183e+04</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Df Residuals:</th>          <td>  1065</td>      <th>  BIC:               </th>          <td>2.185e+04</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Df Model:</th>              <td>     5</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>age</th>      <td>  207.7158</td> <td>   13.051</td> <td>   15.915</td> <td> 0.000</td> <td>  182.106</td> <td>  233.325</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>sex</th>      <td> -522.1731</td> <td>  394.975</td> <td>   -1.322</td> <td> 0.186</td> <td>-1297.190</td> <td>  252.844</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>bmi</th>      <td>   23.8476</td> <td>   18.521</td> <td>    1.288</td> <td> 0.198</td> <td>  -12.494</td> <td>   60.189</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>children</th> <td>  259.8255</td> <td>  165.893</td> <td>    1.566</td> <td> 0.118</td> <td>  -65.689</td> <td>  585.340</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>smoker</th>   <td> 2.303e+04</td> <td>  498.325</td> <td>   46.208</td> <td> 0.000</td> <td>  2.2e+04</td> <td>  2.4e+04</td>\n",
       "</tr>\n",
       "</table>\n",
       "<table class=\"simpletable\">\n",
       "<tr>\n",
       "  <th>Omnibus:</th>       <td>234.630</td> <th>  Durbin-Watson:     </th> <td>   2.056</td> \n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Prob(Omnibus):</th> <td> 0.000</td>  <th>  Jarque-Bera (JB):  </th> <td> 518.695</td> \n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Skew:</th>          <td> 1.209</td>  <th>  Prob(JB):          </th> <td>2.33e-113</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Kurtosis:</th>      <td> 5.406</td>  <th>  Cond. No.          </th> <td>    129.</td> \n",
       "</tr>\n",
       "</table><br/><br/>Notes:<br/>[1] R² is computed without centering (uncentered) since the model does not contain a constant.<br/>[2] 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:               expenses   R-squared (uncentered):                   0.866\n",
       "Model:                            OLS   Adj. R-squared (uncentered):              0.866\n",
       "Method:                 Least Squares   F-statistic:                              1382.\n",
       "Date:                Thu, 25 Mar 2021   Prob (F-statistic):                        0.00\n",
       "Time:                        12:18:44   Log-Likelihood:                         -10909.\n",
       "No. Observations:                1070   AIC:                                  2.183e+04\n",
       "Df Residuals:                    1065   BIC:                                  2.185e+04\n",
       "Df Model:                           5                                                  \n",
       "Covariance Type:            nonrobust                                                  \n",
       "==============================================================================\n",
       "                 coef    std err          t      P>|t|      [0.025      0.975]\n",
       "------------------------------------------------------------------------------\n",
       "age          207.7158     13.051     15.915      0.000     182.106     233.325\n",
       "sex         -522.1731    394.975     -1.322      0.186   -1297.190     252.844\n",
       "bmi           23.8476     18.521      1.288      0.198     -12.494      60.189\n",
       "children     259.8255    165.893      1.566      0.118     -65.689     585.340\n",
       "smoker      2.303e+04    498.325     46.208      0.000     2.2e+04     2.4e+04\n",
       "==============================================================================\n",
       "Omnibus:                      234.630   Durbin-Watson:                   2.056\n",
       "Prob(Omnibus):                  0.000   Jarque-Bera (JB):              518.695\n",
       "Skew:                           1.209   Prob(JB):                    2.33e-113\n",
       "Kurtosis:                       5.406   Cond. No.                         129.\n",
       "==============================================================================\n",
       "\n",
       "Notes:\n",
       "[1] R² is computed without centering (uncentered) since the model does not contain a constant.\n",
       "[2] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n",
       "\"\"\""
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "x = sm.add_constant(X)\n",
    "results=sm.OLS(y_train,X_train).fit()\n",
    "results.summary()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "model = LinearRegression()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "LinearRegression()"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "model.fit(X_train,y_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([2.64785115e+02, 1.71863404e+01, 2.97653338e+02, 4.69405312e+02,\n",
       "       2.34681241e+04])"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "model.coef_"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "-11581.182049431885"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "model.intercept_"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.7938927150843573"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "yhat = model.predict(X_test)\n",
    "model.score(X_test,y_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.title('Relationship between the error terms')\n",
    "plt.scatter(yhat,y_test)\n",
    "plt.xlabel('Predictions')\n",
    "plt.ylabel('Actual')\n",
    "plt.xlim(0,60000)\n",
    "plt.ylim(0,60000)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x24ec2856ac0>"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 360x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.displot(y_test- yhat)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "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>Weights</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>age</th>\n",
       "      <td>264.785115</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>sex</th>\n",
       "      <td>17.186340</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>bmi</th>\n",
       "      <td>297.653338</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>children</th>\n",
       "      <td>469.405312</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>smoker</th>\n",
       "      <td>23468.124130</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               Weights\n",
       "age         264.785115\n",
       "sex          17.186340\n",
       "bmi         297.653338\n",
       "children    469.405312\n",
       "smoker    23468.124130"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data = pd.DataFrame( model.coef_ ,X.columns, columns={'Weights'})\n",
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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