{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "library(ISLR)\n",
    "library(repr)\n",
    "options(repr.plot.width=16, repr.plot.height=16)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table>\n",
       "<caption>A data.frame: 6 × 9</caption>\n",
       "<thead>\n",
       "\t<tr><th></th><th scope=col>mpg</th><th scope=col>cylinders</th><th scope=col>displacement</th><th scope=col>horsepower</th><th scope=col>weight</th><th scope=col>acceleration</th><th scope=col>year</th><th scope=col>origin</th><th scope=col>name</th></tr>\n",
       "\t<tr><th></th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;fct&gt;</th></tr>\n",
       "</thead>\n",
       "<tbody>\n",
       "\t<tr><th scope=row>1</th><td>18</td><td>8</td><td>307</td><td>130</td><td>3504</td><td>12.0</td><td>70</td><td>1</td><td>chevrolet chevelle malibu</td></tr>\n",
       "\t<tr><th scope=row>2</th><td>15</td><td>8</td><td>350</td><td>165</td><td>3693</td><td>11.5</td><td>70</td><td>1</td><td>buick skylark 320        </td></tr>\n",
       "\t<tr><th scope=row>3</th><td>18</td><td>8</td><td>318</td><td>150</td><td>3436</td><td>11.0</td><td>70</td><td>1</td><td>plymouth satellite       </td></tr>\n",
       "\t<tr><th scope=row>4</th><td>16</td><td>8</td><td>304</td><td>150</td><td>3433</td><td>12.0</td><td>70</td><td>1</td><td>amc rebel sst            </td></tr>\n",
       "\t<tr><th scope=row>5</th><td>17</td><td>8</td><td>302</td><td>140</td><td>3449</td><td>10.5</td><td>70</td><td>1</td><td>ford torino              </td></tr>\n",
       "\t<tr><th scope=row>6</th><td>15</td><td>8</td><td>429</td><td>198</td><td>4341</td><td>10.0</td><td>70</td><td>1</td><td>ford galaxie 500         </td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "A data.frame: 6 × 9\n",
       "\\begin{tabular}{r|lllllllll}\n",
       "  & mpg & cylinders & displacement & horsepower & weight & acceleration & year & origin & name\\\\\n",
       "  & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <fct>\\\\\n",
       "\\hline\n",
       "\t1 & 18 & 8 & 307 & 130 & 3504 & 12.0 & 70 & 1 & chevrolet chevelle malibu\\\\\n",
       "\t2 & 15 & 8 & 350 & 165 & 3693 & 11.5 & 70 & 1 & buick skylark 320        \\\\\n",
       "\t3 & 18 & 8 & 318 & 150 & 3436 & 11.0 & 70 & 1 & plymouth satellite       \\\\\n",
       "\t4 & 16 & 8 & 304 & 150 & 3433 & 12.0 & 70 & 1 & amc rebel sst            \\\\\n",
       "\t5 & 17 & 8 & 302 & 140 & 3449 & 10.5 & 70 & 1 & ford torino              \\\\\n",
       "\t6 & 15 & 8 & 429 & 198 & 4341 & 10.0 & 70 & 1 & ford galaxie 500         \\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "A data.frame: 6 × 9\n",
       "\n",
       "| <!--/--> | mpg &lt;dbl&gt; | cylinders &lt;dbl&gt; | displacement &lt;dbl&gt; | horsepower &lt;dbl&gt; | weight &lt;dbl&gt; | acceleration &lt;dbl&gt; | year &lt;dbl&gt; | origin &lt;dbl&gt; | name &lt;fct&gt; |\n",
       "|---|---|---|---|---|---|---|---|---|---|\n",
       "| 1 | 18 | 8 | 307 | 130 | 3504 | 12.0 | 70 | 1 | chevrolet chevelle malibu |\n",
       "| 2 | 15 | 8 | 350 | 165 | 3693 | 11.5 | 70 | 1 | buick skylark 320         |\n",
       "| 3 | 18 | 8 | 318 | 150 | 3436 | 11.0 | 70 | 1 | plymouth satellite        |\n",
       "| 4 | 16 | 8 | 304 | 150 | 3433 | 12.0 | 70 | 1 | amc rebel sst             |\n",
       "| 5 | 17 | 8 | 302 | 140 | 3449 | 10.5 | 70 | 1 | ford torino               |\n",
       "| 6 | 15 | 8 | 429 | 198 | 4341 | 10.0 | 70 | 1 | ford galaxie 500          |\n",
       "\n"
      ],
      "text/plain": [
       "  mpg cylinders displacement horsepower weight acceleration year origin\n",
       "1 18  8         307          130        3504   12.0         70   1     \n",
       "2 15  8         350          165        3693   11.5         70   1     \n",
       "3 18  8         318          150        3436   11.0         70   1     \n",
       "4 16  8         304          150        3433   12.0         70   1     \n",
       "5 17  8         302          140        3449   10.5         70   1     \n",
       "6 15  8         429          198        4341   10.0         70   1     \n",
       "  name                     \n",
       "1 chevrolet chevelle malibu\n",
       "2 buick skylark 320        \n",
       "3 plymouth satellite       \n",
       "4 amc rebel sst            \n",
       "5 ford torino              \n",
       "6 ford galaxie 500         "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# rownames(Auto) = Auto[ ,9]\n",
    "\n",
    "head(Auto)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "<table width=\"100%\" summary=\"page for Auto {ISLR}\"><tr><td>Auto {ISLR}</td><td style=\"text-align: right;\">R Documentation</td></tr></table>\n",
       "\n",
       "<h2>\n",
       "Auto Data Set\n",
       "</h2>\n",
       "\n",
       "<h3>Description</h3>\n",
       "\n",
       "<p>Gas mileage, horsepower, and other information for 392 vehicles.</p>\n",
       "\n",
       "\n",
       "<h3>Usage</h3>\n",
       "\n",
       "<pre>Auto</pre>\n",
       "\n",
       "\n",
       "<h3>Format</h3>\n",
       "\n",
       "<p>A data frame with 392 observations on the following 9 variables.\n",
       "</p>\n",
       "\n",
       "<dl>\n",
       "<dt><code>mpg</code></dt><dd><p>miles per gallon</p>\n",
       "</dd>\n",
       "<dt><code>cylinders</code></dt><dd><p>Number of cylinders between 4 and 8</p>\n",
       "</dd>\n",
       "<dt><code>displacement</code></dt><dd><p>Engine displacement (cu. inches)</p>\n",
       "</dd>\n",
       "<dt><code>horsepower</code></dt><dd><p>Engine horsepower</p>\n",
       "</dd>\n",
       "<dt><code>weight</code></dt><dd><p>Vehicle weight (lbs.)</p>\n",
       "</dd>\n",
       "<dt><code>acceleration</code></dt><dd><p>Time to accelerate from 0 to 60 mph (sec.)</p>\n",
       "</dd>\n",
       "<dt><code>year</code></dt><dd><p>Model year (modulo 100)</p>\n",
       "</dd>\n",
       "<dt><code>origin</code></dt><dd><p>Origin of car (1. American, 2. European, 3. Japanese)</p>\n",
       "</dd>\n",
       "<dt><code>name</code></dt><dd><p>Vehicle name</p>\n",
       "</dd></dl>\n",
       "\n",
       "<p>The orginal data contained 408 observations but 16 observations with\n",
       "missing values were removed.</p>\n",
       "\n",
       "\n",
       "<h3>Source</h3>\n",
       "\n",
       "<p>This dataset was taken from the StatLib library which is maintained at Carnegie Mellon University. The dataset was used in the 1983 American Statistical Association Exposition.\n",
       "</p>\n",
       "\n",
       "\n",
       "<h3>References</h3>\n",
       "\n",
       "<p>James, G., Witten, D., Hastie, T., and Tibshirani, R. (2013)\n",
       "<em>An Introduction to Statistical Learning with applications in R</em>,\n",
       "<a href=\"www.StatLearning.com\">www.StatLearning.com</a>,\n",
       "Springer-Verlag, New York\n",
       "</p>\n",
       "\n",
       "\n",
       "<h3>Examples</h3>\n",
       "\n",
       "<pre>\n",
       "pairs(Auto)\n",
       "attach(Auto)\n",
       "hist(mpg)\n",
       "</pre>\n",
       "\n",
       "<hr /><div style=\"text-align: center;\">[Package <em>ISLR</em> version 1.2 ]</div>"
      ],
      "text/latex": [
       "\\inputencoding{utf8}\n",
       "\\HeaderA{Auto}{Auto Data Set}{Auto}\n",
       "\\keyword{datasets}{Auto}\n",
       "%\n",
       "\\begin{Description}\\relax\n",
       "Gas mileage, horsepower, and other information for 392 vehicles.\n",
       "\\end{Description}\n",
       "%\n",
       "\\begin{Usage}\n",
       "\\begin{verbatim}\n",
       "Auto\n",
       "\\end{verbatim}\n",
       "\\end{Usage}\n",
       "%\n",
       "\\begin{Format}\n",
       "A data frame with 392 observations on the following 9 variables.\n",
       "\\begin{description}\n",
       "\n",
       "\\item[\\code{mpg}] miles per gallon\n",
       "\\item[\\code{cylinders}] Number of cylinders between 4 and 8\n",
       "\\item[\\code{displacement}] Engine displacement (cu. inches)\n",
       "\\item[\\code{horsepower}] Engine horsepower\n",
       "\\item[\\code{weight}] Vehicle weight (lbs.)\n",
       "\\item[\\code{acceleration}] Time to accelerate from 0 to 60 mph (sec.)\n",
       "\\item[\\code{year}] Model year (modulo 100)\n",
       "\\item[\\code{origin}] Origin of car (1. American, 2. European, 3. Japanese)\n",
       "\\item[\\code{name}] Vehicle name\n",
       "\\end{description}\n",
       "\n",
       "\n",
       "The orginal data contained 408 observations but 16 observations with\n",
       "missing values were removed.\n",
       "\\end{Format}\n",
       "%\n",
       "\\begin{Source}\\relax\n",
       "This dataset was taken from the StatLib library which is maintained at Carnegie Mellon University. The dataset was used in the 1983 American Statistical Association Exposition.\n",
       "\\end{Source}\n",
       "%\n",
       "\\begin{References}\\relax\n",
       "James, G., Witten, D., Hastie, T., and Tibshirani, R. (2013)\n",
       "\\emph{An Introduction to Statistical Learning with applications in R},\n",
       "\\url{www.StatLearning.com},\n",
       "Springer-Verlag, New York\n",
       "\\end{References}\n",
       "%\n",
       "\\begin{Examples}\n",
       "\\begin{ExampleCode}\n",
       "pairs(Auto)\n",
       "attach(Auto)\n",
       "hist(mpg)\n",
       "\\end{ExampleCode}\n",
       "\\end{Examples}"
      ],
      "text/plain": [
       "Auto                   package:ISLR                    R Documentation\n",
       "\n",
       "_\bA_\bu_\bt_\bo _\bD_\ba_\bt_\ba _\bS_\be_\bt\n",
       "\n",
       "_\bD_\be_\bs_\bc_\br_\bi_\bp_\bt_\bi_\bo_\bn:\n",
       "\n",
       "     Gas mileage, horsepower, and other information for 392 vehicles.\n",
       "\n",
       "_\bU_\bs_\ba_\bg_\be:\n",
       "\n",
       "     Auto\n",
       "     \n",
       "_\bF_\bo_\br_\bm_\ba_\bt:\n",
       "\n",
       "     A data frame with 392 observations on the following 9 variables.\n",
       "\n",
       "     ‘mpg’ miles per gallon\n",
       "\n",
       "     ‘cylinders’ Number of cylinders between 4 and 8\n",
       "\n",
       "     ‘displacement’ Engine displacement (cu. inches)\n",
       "\n",
       "     ‘horsepower’ Engine horsepower\n",
       "\n",
       "     ‘weight’ Vehicle weight (lbs.)\n",
       "\n",
       "     ‘acceleration’ Time to accelerate from 0 to 60 mph (sec.)\n",
       "\n",
       "     ‘year’ Model year (modulo 100)\n",
       "\n",
       "     ‘origin’ Origin of car (1. American, 2. European, 3. Japanese)\n",
       "\n",
       "     ‘name’ Vehicle name\n",
       "\n",
       "     The orginal data contained 408 observations but 16 observations\n",
       "     with missing values were removed.\n",
       "\n",
       "_\bS_\bo_\bu_\br_\bc_\be:\n",
       "\n",
       "     This dataset was taken from the StatLib library which is\n",
       "     maintained at Carnegie Mellon University. The dataset was used in\n",
       "     the 1983 American Statistical Association Exposition.\n",
       "\n",
       "_\bR_\be_\bf_\be_\br_\be_\bn_\bc_\be_\bs:\n",
       "\n",
       "     James, G., Witten, D., Hastie, T., and Tibshirani, R. (2013) _An\n",
       "     Introduction to Statistical Learning with applications in R_,\n",
       "     <URL: www.StatLearning.com>, Springer-Verlag, New York\n",
       "\n",
       "_\bE_\bx_\ba_\bm_\bp_\bl_\be_\bs:\n",
       "\n",
       "     pairs(Auto)\n",
       "     attach(Auto)\n",
       "     hist(mpg)\n",
       "     "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "?Auto"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "      mpg          cylinders      displacement     horsepower        weight    \n",
       " Min.   : 9.00   Min.   :3.000   Min.   : 68.0   Min.   : 46.0   Min.   :1613  \n",
       " 1st Qu.:17.00   1st Qu.:4.000   1st Qu.:105.0   1st Qu.: 75.0   1st Qu.:2225  \n",
       " Median :22.75   Median :4.000   Median :151.0   Median : 93.5   Median :2804  \n",
       " Mean   :23.45   Mean   :5.472   Mean   :194.4   Mean   :104.5   Mean   :2978  \n",
       " 3rd Qu.:29.00   3rd Qu.:8.000   3rd Qu.:275.8   3rd Qu.:126.0   3rd Qu.:3615  \n",
       " Max.   :46.60   Max.   :8.000   Max.   :455.0   Max.   :230.0   Max.   :5140  \n",
       "                                                                               \n",
       "  acceleration        year           origin                      name    \n",
       " Min.   : 8.00   Min.   :70.00   Min.   :1.000   amc matador       :  5  \n",
       " 1st Qu.:13.78   1st Qu.:73.00   1st Qu.:1.000   ford pinto        :  5  \n",
       " Median :15.50   Median :76.00   Median :1.000   toyota corolla    :  5  \n",
       " Mean   :15.54   Mean   :75.98   Mean   :1.577   amc gremlin       :  4  \n",
       " 3rd Qu.:17.02   3rd Qu.:79.00   3rd Qu.:2.000   amc hornet        :  4  \n",
       " Max.   :24.80   Max.   :82.00   Max.   :3.000   chevrolet chevette:  4  \n",
       "                                                 (Other)           :365  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "summary(Auto)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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OExgOfmpLP3o8MGrl0CbEAAAy5EDeCg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\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EzeN8+zYdJVQzC0W0JQs2/8suY4pvws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\nmYMCbBvOt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      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {
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       "height": 960,
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      "text/plain": {
       "height": 960,
       "width": 960
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "pairs(Auto[,1:4])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "      mpg          cylinders      displacement     horsepower        weight    \n",
       " Min.   :11.00   Min.   :3.000   Min.   : 68.0   Min.   : 46.0   Min.   :1649  \n",
       " 1st Qu.:17.68   1st Qu.:4.000   1st Qu.:100.2   1st Qu.: 75.0   1st Qu.:2220  \n",
       " Median :23.10   Median :4.000   Median :145.5   Median : 92.0   Median :2804  \n",
       " Mean   :24.05   Mean   :5.408   Mean   :189.4   Mean   :102.1   Mean   :2959  \n",
       " 3rd Qu.:30.00   3rd Qu.:6.000   3rd Qu.:258.5   3rd Qu.:120.0   3rd Qu.:3571  \n",
       " Max.   :46.60   Max.   :8.000   Max.   :455.0   Max.   :230.0   Max.   :4997  \n",
       "                                                                               \n",
       "  acceleration        year           origin     \n",
       " Min.   : 8.50   Min.   :70.00   Min.   :1.000  \n",
       " 1st Qu.:14.00   1st Qu.:74.00   1st Qu.:1.000  \n",
       " Median :15.50   Median :77.00   Median :1.000  \n",
       " Mean   :15.67   Mean   :76.84   Mean   :1.601  \n",
       " 3rd Qu.:17.20   3rd Qu.:80.00   3rd Qu.:2.000  \n",
       " Max.   :24.80   Max.   :82.00   Max.   :3.000  \n",
       "                                                \n",
       "                        name    \n",
       " ford pinto               :  5  \n",
       " toyota corolla           :  5  \n",
       " amc matador              :  4  \n",
       " chevrolet chevette       :  4  \n",
       " amc hornet               :  3  \n",
       " chevrolet caprice classic:  3  \n",
       " (Other)                  :312  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "auto2 = Auto[-c(10:65),] \n",
    "summary(auto2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table>\n",
       "<caption>A matrix: 8 × 8 of type dbl</caption>\n",
       "<thead>\n",
       "\t<tr><th></th><th scope=col>mpg</th><th scope=col>cylinders</th><th scope=col>displacement</th><th scope=col>horsepower</th><th scope=col>weight</th><th scope=col>acceleration</th><th scope=col>year</th><th scope=col>origin</th></tr>\n",
       "</thead>\n",
       "<tbody>\n",
       "\t<tr><th scope=row>mpg</th><td> 1.0000000</td><td>-0.7776175</td><td>-0.8051269</td><td>-0.7784268</td><td>-0.8322442</td><td> 0.4233285</td><td> 0.5805410</td><td> 0.5652088</td></tr>\n",
       "\t<tr><th scope=row>cylinders</th><td>-0.7776175</td><td> 1.0000000</td><td> 0.9508233</td><td> 0.8429834</td><td> 0.8975273</td><td>-0.5046834</td><td>-0.3456474</td><td>-0.5689316</td></tr>\n",
       "\t<tr><th scope=row>displacement</th><td>-0.8051269</td><td> 0.9508233</td><td> 1.0000000</td><td> 0.8972570</td><td> 0.9329944</td><td>-0.5438005</td><td>-0.3698552</td><td>-0.6145351</td></tr>\n",
       "\t<tr><th scope=row>horsepower</th><td>-0.7784268</td><td> 0.8429834</td><td> 0.8972570</td><td> 1.0000000</td><td> 0.8645377</td><td>-0.6891955</td><td>-0.4163615</td><td>-0.4551715</td></tr>\n",
       "\t<tr><th scope=row>weight</th><td>-0.8322442</td><td> 0.8975273</td><td> 0.9329944</td><td> 0.8645377</td><td> 1.0000000</td><td>-0.4168392</td><td>-0.3091199</td><td>-0.5850054</td></tr>\n",
       "\t<tr><th scope=row>acceleration</th><td> 0.4233285</td><td>-0.5046834</td><td>-0.5438005</td><td>-0.6891955</td><td>-0.4168392</td><td> 1.0000000</td><td> 0.2903161</td><td> 0.2127458</td></tr>\n",
       "\t<tr><th scope=row>year</th><td> 0.5805410</td><td>-0.3456474</td><td>-0.3698552</td><td>-0.4163615</td><td>-0.3091199</td><td> 0.2903161</td><td> 1.0000000</td><td> 0.1815277</td></tr>\n",
       "\t<tr><th scope=row>origin</th><td> 0.5652088</td><td>-0.5689316</td><td>-0.6145351</td><td>-0.4551715</td><td>-0.5850054</td><td> 0.2127458</td><td> 0.1815277</td><td> 1.0000000</td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "A matrix: 8 × 8 of type dbl\n",
       "\\begin{tabular}{r|llllllll}\n",
       "  & mpg & cylinders & displacement & horsepower & weight & acceleration & year & origin\\\\\n",
       "\\hline\n",
       "\tmpg &  1.0000000 & -0.7776175 & -0.8051269 & -0.7784268 & -0.8322442 &  0.4233285 &  0.5805410 &  0.5652088\\\\\n",
       "\tcylinders & -0.7776175 &  1.0000000 &  0.9508233 &  0.8429834 &  0.8975273 & -0.5046834 & -0.3456474 & -0.5689316\\\\\n",
       "\tdisplacement & -0.8051269 &  0.9508233 &  1.0000000 &  0.8972570 &  0.9329944 & -0.5438005 & -0.3698552 & -0.6145351\\\\\n",
       "\thorsepower & -0.7784268 &  0.8429834 &  0.8972570 &  1.0000000 &  0.8645377 & -0.6891955 & -0.4163615 & -0.4551715\\\\\n",
       "\tweight & -0.8322442 &  0.8975273 &  0.9329944 &  0.8645377 &  1.0000000 & -0.4168392 & -0.3091199 & -0.5850054\\\\\n",
       "\tacceleration &  0.4233285 & -0.5046834 & -0.5438005 & -0.6891955 & -0.4168392 &  1.0000000 &  0.2903161 &  0.2127458\\\\\n",
       "\tyear &  0.5805410 & -0.3456474 & -0.3698552 & -0.4163615 & -0.3091199 &  0.2903161 &  1.0000000 &  0.1815277\\\\\n",
       "\torigin &  0.5652088 & -0.5689316 & -0.6145351 & -0.4551715 & -0.5850054 &  0.2127458 &  0.1815277 &  1.0000000\\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "A matrix: 8 × 8 of type dbl\n",
       "\n",
       "| <!--/--> | mpg | cylinders | displacement | horsepower | weight | acceleration | year | origin |\n",
       "|---|---|---|---|---|---|---|---|---|\n",
       "| mpg |  1.0000000 | -0.7776175 | -0.8051269 | -0.7784268 | -0.8322442 |  0.4233285 |  0.5805410 |  0.5652088 |\n",
       "| cylinders | -0.7776175 |  1.0000000 |  0.9508233 |  0.8429834 |  0.8975273 | -0.5046834 | -0.3456474 | -0.5689316 |\n",
       "| displacement | -0.8051269 |  0.9508233 |  1.0000000 |  0.8972570 |  0.9329944 | -0.5438005 | -0.3698552 | -0.6145351 |\n",
       "| horsepower | -0.7784268 |  0.8429834 |  0.8972570 |  1.0000000 |  0.8645377 | -0.6891955 | -0.4163615 | -0.4551715 |\n",
       "| weight | -0.8322442 |  0.8975273 |  0.9329944 |  0.8645377 |  1.0000000 | -0.4168392 | -0.3091199 | -0.5850054 |\n",
       "| acceleration |  0.4233285 | -0.5046834 | -0.5438005 | -0.6891955 | -0.4168392 |  1.0000000 |  0.2903161 |  0.2127458 |\n",
       "| year |  0.5805410 | -0.3456474 | -0.3698552 | -0.4163615 | -0.3091199 |  0.2903161 |  1.0000000 |  0.1815277 |\n",
       "| origin |  0.5652088 | -0.5689316 | -0.6145351 | -0.4551715 | -0.5850054 |  0.2127458 |  0.1815277 |  1.0000000 |\n",
       "\n"
      ],
      "text/plain": [
       "             mpg        cylinders  displacement horsepower weight    \n",
       "mpg           1.0000000 -0.7776175 -0.8051269   -0.7784268 -0.8322442\n",
       "cylinders    -0.7776175  1.0000000  0.9508233    0.8429834  0.8975273\n",
       "displacement -0.8051269  0.9508233  1.0000000    0.8972570  0.9329944\n",
       "horsepower   -0.7784268  0.8429834  0.8972570    1.0000000  0.8645377\n",
       "weight       -0.8322442  0.8975273  0.9329944    0.8645377  1.0000000\n",
       "acceleration  0.4233285 -0.5046834 -0.5438005   -0.6891955 -0.4168392\n",
       "year          0.5805410 -0.3456474 -0.3698552   -0.4163615 -0.3091199\n",
       "origin        0.5652088 -0.5689316 -0.6145351   -0.4551715 -0.5850054\n",
       "             acceleration year       origin    \n",
       "mpg           0.4233285    0.5805410  0.5652088\n",
       "cylinders    -0.5046834   -0.3456474 -0.5689316\n",
       "displacement -0.5438005   -0.3698552 -0.6145351\n",
       "horsepower   -0.6891955   -0.4163615 -0.4551715\n",
       "weight       -0.4168392   -0.3091199 -0.5850054\n",
       "acceleration  1.0000000    0.2903161  0.2127458\n",
       "year          0.2903161    1.0000000  0.1815277\n",
       "origin        0.2127458    0.1815277  1.0000000"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "cor(Auto[-c(9)])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table>\n",
       "<caption>A matrix: 8 × 8 of type dbl</caption>\n",
       "<thead>\n",
       "\t<tr><th></th><th scope=col>mpg</th><th scope=col>cylinders</th><th scope=col>displacement</th><th scope=col>horsepower</th><th scope=col>weight</th><th scope=col>acceleration</th><th scope=col>year</th><th scope=col>origin</th></tr>\n",
       "</thead>\n",
       "<tbody>\n",
       "\t<tr><th scope=row>mpg</th><td>   60.918142</td><td> -10.3529281</td><td> -657.58521</td><td> -233.85793</td><td> -5517.4407</td><td>   9.1155144</td><td>  16.6914766</td><td>   3.5535101</td></tr>\n",
       "\t<tr><th scope=row>cylinders</th><td>  -10.352928</td><td>   2.9096965</td><td>  169.72195</td><td>   55.34824</td><td>  1300.4244</td><td>  -2.3750522</td><td>  -2.1719296</td><td>  -0.7817344</td></tr>\n",
       "\t<tr><th scope=row>displacement</th><td> -657.585207</td><td> 169.7219486</td><td>10950.36755</td><td> 3614.03374</td><td> 82929.1001</td><td>-156.9944354</td><td>-142.5721332</td><td> -51.8007921</td></tr>\n",
       "\t<tr><th scope=row>horsepower</th><td> -233.857926</td><td>  55.3482436</td><td> 3614.03374</td><td> 1481.56939</td><td> 28265.6202</td><td> -73.1869670</td><td> -59.0364320</td><td> -14.1127407</td></tr>\n",
       "\t<tr><th scope=row>weight</th><td>-5517.440704</td><td>1300.4243632</td><td>82929.10014</td><td>28265.62023</td><td>721484.7090</td><td>-976.8152526</td><td>-967.2284566</td><td>-400.2660499</td></tr>\n",
       "\t<tr><th scope=row>acceleration</th><td>    9.115514</td><td>  -2.3750522</td><td> -156.99444</td><td>  -73.18697</td><td>  -976.8153</td><td>   7.6113312</td><td>   2.9504619</td><td>   0.4727882</td></tr>\n",
       "\t<tr><th scope=row>year</th><td>   16.691477</td><td>  -2.1719296</td><td> -142.57213</td><td>  -59.03643</td><td>  -967.2285</td><td>   2.9504619</td><td>  13.5699149</td><td>   0.5386502</td></tr>\n",
       "\t<tr><th scope=row>origin</th><td>    3.553510</td><td>  -0.7817344</td><td>  -51.80079</td><td>  -14.11274</td><td>  -400.2660</td><td>   0.4727882</td><td>   0.5386502</td><td>   0.6488595</td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "A matrix: 8 × 8 of type dbl\n",
       "\\begin{tabular}{r|llllllll}\n",
       "  & mpg & cylinders & displacement & horsepower & weight & acceleration & year & origin\\\\\n",
       "\\hline\n",
       "\tmpg &    60.918142 &  -10.3529281 &  -657.58521 &  -233.85793 &  -5517.4407 &    9.1155144 &   16.6914766 &    3.5535101\\\\\n",
       "\tcylinders &   -10.352928 &    2.9096965 &   169.72195 &    55.34824 &   1300.4244 &   -2.3750522 &   -2.1719296 &   -0.7817344\\\\\n",
       "\tdisplacement &  -657.585207 &  169.7219486 & 10950.36755 &  3614.03374 &  82929.1001 & -156.9944354 & -142.5721332 &  -51.8007921\\\\\n",
       "\thorsepower &  -233.857926 &   55.3482436 &  3614.03374 &  1481.56939 &  28265.6202 &  -73.1869670 &  -59.0364320 &  -14.1127407\\\\\n",
       "\tweight & -5517.440704 & 1300.4243632 & 82929.10014 & 28265.62023 & 721484.7090 & -976.8152526 & -967.2284566 & -400.2660499\\\\\n",
       "\tacceleration &     9.115514 &   -2.3750522 &  -156.99444 &   -73.18697 &   -976.8153 &    7.6113312 &    2.9504619 &    0.4727882\\\\\n",
       "\tyear &    16.691477 &   -2.1719296 &  -142.57213 &   -59.03643 &   -967.2285 &    2.9504619 &   13.5699149 &    0.5386502\\\\\n",
       "\torigin &     3.553510 &   -0.7817344 &   -51.80079 &   -14.11274 &   -400.2660 &    0.4727882 &    0.5386502 &    0.6488595\\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "A matrix: 8 × 8 of type dbl\n",
       "\n",
       "| <!--/--> | mpg | cylinders | displacement | horsepower | weight | acceleration | year | origin |\n",
       "|---|---|---|---|---|---|---|---|---|\n",
       "| mpg |    60.918142 |  -10.3529281 |  -657.58521 |  -233.85793 |  -5517.4407 |    9.1155144 |   16.6914766 |    3.5535101 |\n",
       "| cylinders |   -10.352928 |    2.9096965 |   169.72195 |    55.34824 |   1300.4244 |   -2.3750522 |   -2.1719296 |   -0.7817344 |\n",
       "| displacement |  -657.585207 |  169.7219486 | 10950.36755 |  3614.03374 |  82929.1001 | -156.9944354 | -142.5721332 |  -51.8007921 |\n",
       "| horsepower |  -233.857926 |   55.3482436 |  3614.03374 |  1481.56939 |  28265.6202 |  -73.1869670 |  -59.0364320 |  -14.1127407 |\n",
       "| weight | -5517.440704 | 1300.4243632 | 82929.10014 | 28265.62023 | 721484.7090 | -976.8152526 | -967.2284566 | -400.2660499 |\n",
       "| acceleration |     9.115514 |   -2.3750522 |  -156.99444 |   -73.18697 |   -976.8153 |    7.6113312 |    2.9504619 |    0.4727882 |\n",
       "| year |    16.691477 |   -2.1719296 |  -142.57213 |   -59.03643 |   -967.2285 |    2.9504619 |   13.5699149 |    0.5386502 |\n",
       "| origin |     3.553510 |   -0.7817344 |   -51.80079 |   -14.11274 |   -400.2660 |    0.4727882 |    0.5386502 |    0.6488595 |\n",
       "\n"
      ],
      "text/plain": [
       "             mpg          cylinders    displacement horsepower  weight     \n",
       "mpg             60.918142  -10.3529281  -657.58521   -233.85793  -5517.4407\n",
       "cylinders      -10.352928    2.9096965   169.72195     55.34824   1300.4244\n",
       "displacement  -657.585207  169.7219486 10950.36755   3614.03374  82929.1001\n",
       "horsepower    -233.857926   55.3482436  3614.03374   1481.56939  28265.6202\n",
       "weight       -5517.440704 1300.4243632 82929.10014  28265.62023 721484.7090\n",
       "acceleration     9.115514   -2.3750522  -156.99444    -73.18697   -976.8153\n",
       "year            16.691477   -2.1719296  -142.57213    -59.03643   -967.2285\n",
       "origin           3.553510   -0.7817344   -51.80079    -14.11274   -400.2660\n",
       "             acceleration year         origin      \n",
       "mpg             9.1155144   16.6914766    3.5535101\n",
       "cylinders      -2.3750522   -2.1719296   -0.7817344\n",
       "displacement -156.9944354 -142.5721332  -51.8007921\n",
       "horsepower    -73.1869670  -59.0364320  -14.1127407\n",
       "weight       -976.8152526 -967.2284566 -400.2660499\n",
       "acceleration    7.6113312    2.9504619    0.4727882\n",
       "year            2.9504619   13.5699149    0.5386502\n",
       "origin          0.4727882    0.5386502    0.6488595"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "cov(Auto[-c(9)])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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