ch9-exercises_with_solutions.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Chapter 9: Practice Exercises with Solutions\n",
    "---"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Exercise 1:** The Child Health and Development Studies investigate a range of topics. One study considered all pregnancies between 1960 and 1967 among women in the Kaiser Foundation Health Plan in the San Francisco East Bay area. Variables in this study are as follows:\n",
    "- **response variable:** birth weight in ounces (`bwt`)\n",
    "- length of pregnancy in days (`gestation`)\n",
    "- mother's age in years (`age`)\n",
    "- mother's height in inches (`height`)\n",
    "- mother's pregnancy weight in pounds (`weight`)\n",
    "- mother's `smoke` status: 1 if the mother is a smoker, 0 otherwise\n",
    "- child's `parity` status: 1 if first child, 0 otherwise\n",
    "\n",
    "Below are three observations from this data set.\n",
    "\n",
    "| id | bwt | gestation  | parity |  age | height | weight | smoke |\n",
    "|------|------|------|------|------|------|------|------|\n",
    "|  1  | 120  | 284  | 0 | 27 | 62 | 100 | 0 |\n",
    "|   2 | 113    | 282| 0|  33| 64 | 135 | 0 |\n",
    "|   . | .    | .| . |  . | . | . | . |\n",
    "|   . | .    | .| . |  . | . | . | . |\n",
    "|   . | .    | .| . |  . | . | . | . |\n",
    "|   1236  | 117   | 297| 0| 38 | 65 | 129 | 0 |\n",
    " \n",
    "\n",
    "The summary table below shows the results of a regression model for predicting the birth weight of\n",
    "babies (`bwt`) based on all of the variables included in the dataset.\n",
    "\n",
    "| - | Estimate | Std. Error   | t value | Pr(>abs(t)) |\n",
    "|------|------|------|------|------|\n",
    "|  (Intercept)  | -80.41  | 14.35   | -5.60 | 0.0000 |\n",
    "|   gestation  | 0.44    | 0.03| 15.26 |  0.0000 | \n",
    "|   parity | -3.33    | 1.13| -2.95 |  0.0033 | \n",
    "|   age  | -0.01    | 0.09| -0.10|  0.9170 | \n",
    "|   height  | 1.15    | 0.21| 5.63 |  0.0000 | \n",
    "|   weight  | 0.05    | 0.03| 1.99 |  0.0471 | \n",
    "|   smoke  | -8.40    | 0.95| -8.81 |  0.0000 | \n",
    "\n",
    "(A) Write the equation of the regression model that includes all of the variables.\n",
    "\n",
    "(B) Interpret the slopes of `gestation` and `age` in this context.\n",
    "\n",
    "(C) Calculate the residual for the first observation in the data set.\n",
    "\n",
    "(D)  Is there a statistically significant relationship between `bwt` and `smoke`?\n",
    "\n",
    "(E) The variance of the residuals is 249.28 and the variance of the birth weights of all babies in the dataset is 332.57. Calculate the R-squared and the adjusted R-squared values. Note that there are 1,236 observations in the dataset."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Answers:**\n",
    "\n",
    "(A) $\\hat{bwt}$ = -80.41 + 0.44 $gestation$ + (-3.33) $parity$ + (-0.01) $age$ + 1.15 x $height$ + 0.05 $weight$ + (-8.40) $smoke$\n",
    "\n",
    "(B) \n",
    "\n",
    "$gestation$ -> The model predicts a 0.44 ounce increase in the birth weight of the baby for each additional day in length of pregnancy, all else held constant.\n",
    "    \n",
    "$age$ -> The model predicts a 0.01 ounce decrease in the birth weight of the baby for each additional year in mother's age, all else held constant.\n",
    "\n",
    "(C) \n",
    "\n",
    "$\\hat{bwt}$ = -80.41 + 0.44x284 + (-3.33)x0 + (-0.01)x27 + 1.15x62 + 0.05x100 + (-8.40)x0 = 120.58\n",
    "    \n",
    "residual = $e$ = $bwt$ - $\\hat{bwt}$ = 120 - 120.58 = -0.58\n",
    "\n",
    "(D) The question is asking whether any relationship exists between smoking and birth weight, \n",
    "    which requires a two-sided alternative. \n",
    "    $T$ = -8.81, and the p-value is approximately 0. \n",
    "    Since p-value is very small, we reject $Ho$. \n",
    "    We can say that there is a statistically significant relationship between birth weight and smoking.\n",
    "\n",
    "(E) \n",
    "\n",
    "$R^2$ = 1 - (249.28/332.57) = 0.2504\n",
    "    \n",
    "$R^2_{adj}$ = 1 - ((249.28/(1236-6-1))/(332.57/(1236-1))) = 0.2468"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "---\n",
    "## Baseball Player Statistics (MLB11)\n",
    "\n",
    "The movie [Moneyball](https://www.imdb.com/title/tt1210166/) focuses on the \"quest for the secret of success in baseball\". It follows a low-budget team, the Oakland Athletics, who believed that under-used statistics, such as a player's ability to get on base, better predict the ability to score runs than typical statistics like home runs, RBIs (runs batted in), and batting average. Obtaining players who excelled in these under-used statistics turned out to be much more affordable for the team.\n",
    "\n",
    "Data Source: https://www.mlb.com/\n",
    "\n",
    "The data set is available as a CSV file named `mlb11.csv` (Download from [here](https://raw.githubusercontent.com/imranture/practice_stats/main/datasets/mlb11.csv))."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Data shape = (30, 12)\n"
     ]
    },
    {
     "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>team</th>\n",
       "      <th>runs</th>\n",
       "      <th>at_bats</th>\n",
       "      <th>hits</th>\n",
       "      <th>homeruns</th>\n",
       "      <th>bat_avg</th>\n",
       "      <th>strikeouts</th>\n",
       "      <th>stolen_bases</th>\n",
       "      <th>wins</th>\n",
       "      <th>new_onbase</th>\n",
       "      <th>new_slug</th>\n",
       "      <th>new_obs</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Texas Rangers</td>\n",
       "      <td>855</td>\n",
       "      <td>5659</td>\n",
       "      <td>1599</td>\n",
       "      <td>210</td>\n",
       "      <td>0.283</td>\n",
       "      <td>930</td>\n",
       "      <td>143</td>\n",
       "      <td>96</td>\n",
       "      <td>0.340</td>\n",
       "      <td>0.460</td>\n",
       "      <td>0.800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Boston Red Sox</td>\n",
       "      <td>875</td>\n",
       "      <td>5710</td>\n",
       "      <td>1600</td>\n",
       "      <td>203</td>\n",
       "      <td>0.280</td>\n",
       "      <td>1108</td>\n",
       "      <td>102</td>\n",
       "      <td>90</td>\n",
       "      <td>0.349</td>\n",
       "      <td>0.461</td>\n",
       "      <td>0.810</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Detroit Tigers</td>\n",
       "      <td>787</td>\n",
       "      <td>5563</td>\n",
       "      <td>1540</td>\n",
       "      <td>169</td>\n",
       "      <td>0.277</td>\n",
       "      <td>1143</td>\n",
       "      <td>49</td>\n",
       "      <td>95</td>\n",
       "      <td>0.340</td>\n",
       "      <td>0.434</td>\n",
       "      <td>0.773</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Kansas City Royals</td>\n",
       "      <td>730</td>\n",
       "      <td>5672</td>\n",
       "      <td>1560</td>\n",
       "      <td>129</td>\n",
       "      <td>0.275</td>\n",
       "      <td>1006</td>\n",
       "      <td>153</td>\n",
       "      <td>71</td>\n",
       "      <td>0.329</td>\n",
       "      <td>0.415</td>\n",
       "      <td>0.744</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>St. Louis Cardinals</td>\n",
       "      <td>762</td>\n",
       "      <td>5532</td>\n",
       "      <td>1513</td>\n",
       "      <td>162</td>\n",
       "      <td>0.273</td>\n",
       "      <td>978</td>\n",
       "      <td>57</td>\n",
       "      <td>90</td>\n",
       "      <td>0.341</td>\n",
       "      <td>0.425</td>\n",
       "      <td>0.766</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                  team  runs  at_bats  hits  homeruns  bat_avg  strikeouts  \\\n",
       "0        Texas Rangers   855     5659  1599       210    0.283         930   \n",
       "1       Boston Red Sox   875     5710  1600       203    0.280        1108   \n",
       "2       Detroit Tigers   787     5563  1540       169    0.277        1143   \n",
       "3   Kansas City Royals   730     5672  1560       129    0.275        1006   \n",
       "4  St. Louis Cardinals   762     5532  1513       162    0.273         978   \n",
       "\n",
       "   stolen_bases  wins  new_onbase  new_slug  new_obs  \n",
       "0           143    96       0.340     0.460    0.800  \n",
       "1           102    90       0.349     0.461    0.810  \n",
       "2            49    95       0.340     0.434    0.773  \n",
       "3           153    71       0.329     0.415    0.744  \n",
       "4            57    90       0.341     0.425    0.766  "
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "\n",
    "mlb11 = pd.read_csv('datasets/mlb11.csv')\n",
    "\n",
    "print(f'Data shape = {mlb11.shape}')\n",
    "mlb11.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "---\n",
    "**Exercise 2:** Plot pairwise relationships among `runs`, `hits`, `bat_avg` and `wins`.\n",
    "\n",
    "**Hint**: Use seaborn's [`pairplot()`](https://seaborn.pydata.org/generated/seaborn.pairplot.html) function."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1000x1000 with 20 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 984,
       "width": 983
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline \n",
    "%config InlineBackend.figure_format = 'retina'\n",
    "import seaborn as sns\n",
    "\n",
    "plt.style.use('ggplot')\n",
    "plt.rcParams['figure.figsize'] = (10,5)\n",
    "\n",
    "sns.set(style=\"ticks\", color_codes = True)\n",
    "\n",
    "sns.pairplot(mlb11, vars = ['runs', 'hits', 'bat_avg', 'wins'])\n",
    "plt.show();"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1000x1000 with 20 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 978,
       "width": 985
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Add correlation coefficients to the plot above \n",
    "\n",
    "import scipy.stats as stats\n",
    "\n",
    "def corrfunc(x, y, **kws):\n",
    "    r, _ = stats.pearsonr(x, y)\n",
    "    ax = plt.gca()\n",
    "    ax.annotate('{:.2f}'.format(r),\n",
    "                xy=(.4, .5), xycoords=ax.transAxes, fontsize=20)\n",
    "\n",
    "# Assuming mlb11 is already defined and contains the required data\n",
    "g = sns.PairGrid(mlb11, vars=['runs', 'hits', 'bat_avg', 'wins'])\n",
    "g.map_upper(sns.scatterplot)\n",
    "g.map_lower(corrfunc)\n",
    "g.map_diag(sns.histplot, kde=False)  # Using histplot instead of distplot\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "---\n",
    "**Exercise 3:** Construct a multiple regression model for `runs` as the response (dependent) variable and `bat_avg`, `wins`, `strikeouts` as the independent variables. Compute R-squared and Adjusted R-squared values.\n",
    "\n",
    "**Hint**: Use [`statsmodels.api`](https://www.statsmodels.org/stable/regression.html) to fit the model."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                            OLS Regression Results                            \n",
      "==============================================================================\n",
      "Dep. Variable:                   runs   R-squared:                       0.796\n",
      "Model:                            OLS   Adj. R-squared:                  0.773\n",
      "Method:                 Least Squares   F-statistic:                     33.86\n",
      "Date:                Sun, 16 Jun 2024   Prob (F-statistic):           3.94e-09\n",
      "Time:                        17:36:54   Log-Likelihood:                -150.58\n",
      "No. Observations:                  30   AIC:                             309.2\n",
      "Df Residuals:                      26   BIC:                             314.8\n",
      "Df Model:                           3                                         \n",
      "Covariance Type:            nonrobust                                         \n",
      "==============================================================================\n",
      "                 coef    std err          t      P>|t|      [0.025      0.975]\n",
      "------------------------------------------------------------------------------\n",
      "Intercept  -1046.3114    265.290     -3.944      0.001   -1591.624    -500.999\n",
      "bat_avg     5247.2998    762.540      6.881      0.000    3679.876    6814.723\n",
      "wins           2.7088      0.685      3.953      0.001       1.300       4.117\n",
      "strikeouts     0.1591      0.088      1.813      0.081      -0.021       0.339\n",
      "==============================================================================\n",
      "Omnibus:                        1.258   Durbin-Watson:                   2.143\n",
      "Prob(Omnibus):                  0.533   Jarque-Bera (JB):                0.983\n",
      "Skew:                           0.431   Prob(JB):                        0.612\n",
      "Kurtosis:                       2.791   Cond. No.                     1.29e+05\n",
      "==============================================================================\n",
      "\n",
      "Notes:\n",
      "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n",
      "[2] The condition number is large, 1.29e+05. This might indicate that there are\n",
      "strong multicollinearity or other numerical problems.\n"
     ]
    }
   ],
   "source": [
    "import statsmodels.api as sm\n",
    "\n",
    "formula_string = \"runs ~ bat_avg + wins + strikeouts\"\n",
    "\n",
    "model = sm.formula.ols(formula = formula_string, data = mlb11)\n",
    "model_fitted = model.fit()\n",
    "print(model_fitted.summary())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "R-squared = 0.7962\n",
      "Adj. R-squared = 0.7727\n"
     ]
    }
   ],
   "source": [
    "print(f'R-squared = {model_fitted.rsquared:.4f}')\n",
    "print(f'Adj. R-squared = {model_fitted.rsquared_adj:.4f}')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "---\n",
    "**Exercise 4:** Construct a multiple regression model for `runs` as dependent variable again, but this time include all the independent variables (except `team`) in the model. Compute R-squared and Adjusted R-squared values again."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "formula_string - long way: runs ~ at_bats + hits + homeruns + bat_avg + strikeouts + stolen_bases + wins + new_onbase + new_slug + new_obs\n",
      "formula_string - short way: runs ~ at_bats + hits + homeruns + bat_avg + strikeouts + stolen_bases + wins + new_onbase + new_slug + new_obs\n",
      "                            OLS Regression Results                            \n",
      "==============================================================================\n",
      "Dep. Variable:                   runs   R-squared:                       0.963\n",
      "Model:                            OLS   Adj. R-squared:                  0.944\n",
      "Method:                 Least Squares   F-statistic:                     49.67\n",
      "Date:                Sun, 16 Jun 2024   Prob (F-statistic):           1.78e-11\n",
      "Time:                        17:36:54   Log-Likelihood:                -124.92\n",
      "No. Observations:                  30   AIC:                             271.8\n",
      "Df Residuals:                      19   BIC:                             287.3\n",
      "Df Model:                          10                                         \n",
      "Covariance Type:            nonrobust                                         \n",
      "================================================================================\n",
      "                   coef    std err          t      P>|t|      [0.025      0.975]\n",
      "--------------------------------------------------------------------------------\n",
      "Intercept     2361.7065   2858.902      0.826      0.419   -3622.044    8345.457\n",
      "at_bats         -0.5415      0.512     -1.057      0.304      -1.614       0.531\n",
      "hits             2.5532      1.982      1.288      0.213      -1.596       6.703\n",
      "homeruns         0.3902      0.465      0.840      0.411      -0.582       1.363\n",
      "bat_avg       -1.48e+04   1.11e+04     -1.332      0.198    -3.8e+04    8448.545\n",
      "strikeouts      -0.0229      0.053     -0.431      0.672      -0.134       0.088\n",
      "stolen_bases     0.3253      0.138      2.349      0.030       0.035       0.615\n",
      "wins             0.1524      0.552      0.276      0.785      -1.003       1.307\n",
      "new_onbase   -4124.9293   7353.320     -0.561      0.581   -1.95e+04    1.13e+04\n",
      "new_slug     -6609.8406   7397.155     -0.894      0.383   -2.21e+04    8872.582\n",
      "new_obs       7475.7792   7247.187      1.032      0.315   -7692.757    2.26e+04\n",
      "==============================================================================\n",
      "Omnibus:                        0.275   Durbin-Watson:                   2.406\n",
      "Prob(Omnibus):                  0.872   Jarque-Bera (JB):                0.266\n",
      "Skew:                          -0.194   Prob(JB):                        0.875\n",
      "Kurtosis:                       2.749   Cond. No.                     2.20e+07\n",
      "==============================================================================\n",
      "\n",
      "Notes:\n",
      "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n",
      "[2] The condition number is large, 2.2e+07. This might indicate that there are\n",
      "strong multicollinearity or other numerical problems.\n"
     ]
    }
   ],
   "source": [
    "import statsmodels.api as sm\n",
    "\n",
    "# long way\n",
    "formula_string = 'runs ~ at_bats + hits + homeruns + bat_avg + strikeouts + stolen_bases + wins + new_onbase + new_slug + new_obs'\n",
    "print('formula_string - long way:', formula_string)\n",
    "\n",
    "# short and sweet way using Python string tricks\n",
    "formula_string_indep_vars = ' + '.join(mlb11.drop(columns=['runs', 'team']).columns)\n",
    "formula_string = 'runs ~ ' + formula_string_indep_vars\n",
    "print('formula_string - short way:', formula_string)\n",
    "\n",
    "model_full = sm.formula.ols(formula = formula_string , data = mlb11)\n",
    "model_full_fitted = model_full.fit()\n",
    "print(model_full_fitted.summary())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "R-squared = 0.9632\n",
      "Adj. R-squared = 0.9438\n"
     ]
    }
   ],
   "source": [
    "print(f'R-squared = {model_full_fitted.rsquared:.4f}')\n",
    "print(f'Adj. R-squared = {model_full_fitted.rsquared_adj:.4f}')"
   ]
  }
 ],
 "metadata": {
  "hide_input": false,
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.0"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}