Regresión_lineal_brain.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "data <- read.csv(\"brain_weight.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table>\n",
       "<caption>A data.frame: 62 × 2</caption>\n",
       "<thead>\n",
       "\t<tr><th scope=col>brain_weight</th><th scope=col>body_weight</th></tr>\n",
       "\t<tr><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th></tr>\n",
       "</thead>\n",
       "<tbody>\n",
       "\t<tr><td>   3.385</td><td>  44.50</td></tr>\n",
       "\t<tr><td>   0.480</td><td>  15.50</td></tr>\n",
       "\t<tr><td>   1.350</td><td>   8.10</td></tr>\n",
       "\t<tr><td> 465.000</td><td> 423.00</td></tr>\n",
       "\t<tr><td>  36.330</td><td> 119.50</td></tr>\n",
       "\t<tr><td>  27.660</td><td> 115.00</td></tr>\n",
       "\t<tr><td>  14.830</td><td>  98.20</td></tr>\n",
       "\t<tr><td>   1.040</td><td>   5.50</td></tr>\n",
       "\t<tr><td>   4.190</td><td>  58.00</td></tr>\n",
       "\t<tr><td>   0.425</td><td>   6.40</td></tr>\n",
       "\t<tr><td>   0.101</td><td>   4.00</td></tr>\n",
       "\t<tr><td>   0.920</td><td>   5.70</td></tr>\n",
       "\t<tr><td>   1.000</td><td>   6.60</td></tr>\n",
       "\t<tr><td>   0.005</td><td>   0.14</td></tr>\n",
       "\t<tr><td>   0.060</td><td>   1.00</td></tr>\n",
       "\t<tr><td>   3.500</td><td>  10.80</td></tr>\n",
       "\t<tr><td>   2.000</td><td>  12.30</td></tr>\n",
       "\t<tr><td>   1.700</td><td>   6.30</td></tr>\n",
       "\t<tr><td>2547.000</td><td>4603.00</td></tr>\n",
       "\t<tr><td>   0.023</td><td>   0.30</td></tr>\n",
       "\t<tr><td> 187.100</td><td> 419.00</td></tr>\n",
       "\t<tr><td> 521.000</td><td> 655.00</td></tr>\n",
       "\t<tr><td>   0.785</td><td>   3.50</td></tr>\n",
       "\t<tr><td>  10.000</td><td> 115.00</td></tr>\n",
       "\t<tr><td>   3.300</td><td>  25.60</td></tr>\n",
       "\t<tr><td>   0.200</td><td>   5.00</td></tr>\n",
       "\t<tr><td>   1.410</td><td>  17.50</td></tr>\n",
       "\t<tr><td> 529.000</td><td> 680.00</td></tr>\n",
       "\t<tr><td> 207.000</td><td> 406.00</td></tr>\n",
       "\t<tr><td>  85.000</td><td> 325.00</td></tr>\n",
       "\t<tr><td>⋮</td><td>⋮</td></tr>\n",
       "\t<tr><td>6654.000</td><td>5712.00</td></tr>\n",
       "\t<tr><td>   3.500</td><td>   3.90</td></tr>\n",
       "\t<tr><td>   6.800</td><td> 179.00</td></tr>\n",
       "\t<tr><td>  35.000</td><td>  56.00</td></tr>\n",
       "\t<tr><td>   4.050</td><td>  17.00</td></tr>\n",
       "\t<tr><td>   0.120</td><td>   1.00</td></tr>\n",
       "\t<tr><td>   0.023</td><td>   0.40</td></tr>\n",
       "\t<tr><td>   0.010</td><td>   0.25</td></tr>\n",
       "\t<tr><td>   1.400</td><td>  12.50</td></tr>\n",
       "\t<tr><td> 250.000</td><td> 490.00</td></tr>\n",
       "\t<tr><td>   2.500</td><td>  12.10</td></tr>\n",
       "\t<tr><td>  55.500</td><td> 175.00</td></tr>\n",
       "\t<tr><td> 100.000</td><td> 157.00</td></tr>\n",
       "\t<tr><td>  52.160</td><td> 440.00</td></tr>\n",
       "\t<tr><td>  10.550</td><td> 179.50</td></tr>\n",
       "\t<tr><td>   0.550</td><td>   2.40</td></tr>\n",
       "\t<tr><td>  60.000</td><td>  81.00</td></tr>\n",
       "\t<tr><td>   3.600</td><td>  21.00</td></tr>\n",
       "\t<tr><td>   4.288</td><td>  39.20</td></tr>\n",
       "\t<tr><td>   0.280</td><td>   1.90</td></tr>\n",
       "\t<tr><td>   0.075</td><td>   1.20</td></tr>\n",
       "\t<tr><td>   0.122</td><td>   3.00</td></tr>\n",
       "\t<tr><td>   0.048</td><td>   0.33</td></tr>\n",
       "\t<tr><td> 192.000</td><td> 180.00</td></tr>\n",
       "\t<tr><td>   3.000</td><td>  25.00</td></tr>\n",
       "\t<tr><td> 160.000</td><td> 169.00</td></tr>\n",
       "\t<tr><td>   0.900</td><td>   2.60</td></tr>\n",
       "\t<tr><td>   1.620</td><td>  11.40</td></tr>\n",
       "\t<tr><td>   0.104</td><td>   2.50</td></tr>\n",
       "\t<tr><td>   4.235</td><td>  50.40</td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "A data.frame: 62 × 2\n",
       "\\begin{tabular}{ll}\n",
       " brain\\_weight & body\\_weight\\\\\n",
       " <dbl> & <dbl>\\\\\n",
       "\\hline\n",
       "\t    3.385 &   44.50\\\\\n",
       "\t    0.480 &   15.50\\\\\n",
       "\t    1.350 &    8.10\\\\\n",
       "\t  465.000 &  423.00\\\\\n",
       "\t   36.330 &  119.50\\\\\n",
       "\t   27.660 &  115.00\\\\\n",
       "\t   14.830 &   98.20\\\\\n",
       "\t    1.040 &    5.50\\\\\n",
       "\t    4.190 &   58.00\\\\\n",
       "\t    0.425 &    6.40\\\\\n",
       "\t    0.101 &    4.00\\\\\n",
       "\t    0.920 &    5.70\\\\\n",
       "\t    1.000 &    6.60\\\\\n",
       "\t    0.005 &    0.14\\\\\n",
       "\t    0.060 &    1.00\\\\\n",
       "\t    3.500 &   10.80\\\\\n",
       "\t    2.000 &   12.30\\\\\n",
       "\t    1.700 &    6.30\\\\\n",
       "\t 2547.000 & 4603.00\\\\\n",
       "\t    0.023 &    0.30\\\\\n",
       "\t  187.100 &  419.00\\\\\n",
       "\t  521.000 &  655.00\\\\\n",
       "\t    0.785 &    3.50\\\\\n",
       "\t   10.000 &  115.00\\\\\n",
       "\t    3.300 &   25.60\\\\\n",
       "\t    0.200 &    5.00\\\\\n",
       "\t    1.410 &   17.50\\\\\n",
       "\t  529.000 &  680.00\\\\\n",
       "\t  207.000 &  406.00\\\\\n",
       "\t   85.000 &  325.00\\\\\n",
       "\t ⋮ & ⋮\\\\\n",
       "\t 6654.000 & 5712.00\\\\\n",
       "\t    3.500 &    3.90\\\\\n",
       "\t    6.800 &  179.00\\\\\n",
       "\t   35.000 &   56.00\\\\\n",
       "\t    4.050 &   17.00\\\\\n",
       "\t    0.120 &    1.00\\\\\n",
       "\t    0.023 &    0.40\\\\\n",
       "\t    0.010 &    0.25\\\\\n",
       "\t    1.400 &   12.50\\\\\n",
       "\t  250.000 &  490.00\\\\\n",
       "\t    2.500 &   12.10\\\\\n",
       "\t   55.500 &  175.00\\\\\n",
       "\t  100.000 &  157.00\\\\\n",
       "\t   52.160 &  440.00\\\\\n",
       "\t   10.550 &  179.50\\\\\n",
       "\t    0.550 &    2.40\\\\\n",
       "\t   60.000 &   81.00\\\\\n",
       "\t    3.600 &   21.00\\\\\n",
       "\t    4.288 &   39.20\\\\\n",
       "\t    0.280 &    1.90\\\\\n",
       "\t    0.075 &    1.20\\\\\n",
       "\t    0.122 &    3.00\\\\\n",
       "\t    0.048 &    0.33\\\\\n",
       "\t  192.000 &  180.00\\\\\n",
       "\t    3.000 &   25.00\\\\\n",
       "\t  160.000 &  169.00\\\\\n",
       "\t    0.900 &    2.60\\\\\n",
       "\t    1.620 &   11.40\\\\\n",
       "\t    0.104 &    2.50\\\\\n",
       "\t    4.235 &   50.40\\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "A data.frame: 62 × 2\n",
       "\n",
       "| brain_weight &lt;dbl&gt; | body_weight &lt;dbl&gt; |\n",
       "|---|---|\n",
       "|    3.385 |   44.50 |\n",
       "|    0.480 |   15.50 |\n",
       "|    1.350 |    8.10 |\n",
       "|  465.000 |  423.00 |\n",
       "|   36.330 |  119.50 |\n",
       "|   27.660 |  115.00 |\n",
       "|   14.830 |   98.20 |\n",
       "|    1.040 |    5.50 |\n",
       "|    4.190 |   58.00 |\n",
       "|    0.425 |    6.40 |\n",
       "|    0.101 |    4.00 |\n",
       "|    0.920 |    5.70 |\n",
       "|    1.000 |    6.60 |\n",
       "|    0.005 |    0.14 |\n",
       "|    0.060 |    1.00 |\n",
       "|    3.500 |   10.80 |\n",
       "|    2.000 |   12.30 |\n",
       "|    1.700 |    6.30 |\n",
       "| 2547.000 | 4603.00 |\n",
       "|    0.023 |    0.30 |\n",
       "|  187.100 |  419.00 |\n",
       "|  521.000 |  655.00 |\n",
       "|    0.785 |    3.50 |\n",
       "|   10.000 |  115.00 |\n",
       "|    3.300 |   25.60 |\n",
       "|    0.200 |    5.00 |\n",
       "|    1.410 |   17.50 |\n",
       "|  529.000 |  680.00 |\n",
       "|  207.000 |  406.00 |\n",
       "|   85.000 |  325.00 |\n",
       "| ⋮ | ⋮ |\n",
       "| 6654.000 | 5712.00 |\n",
       "|    3.500 |    3.90 |\n",
       "|    6.800 |  179.00 |\n",
       "|   35.000 |   56.00 |\n",
       "|    4.050 |   17.00 |\n",
       "|    0.120 |    1.00 |\n",
       "|    0.023 |    0.40 |\n",
       "|    0.010 |    0.25 |\n",
       "|    1.400 |   12.50 |\n",
       "|  250.000 |  490.00 |\n",
       "|    2.500 |   12.10 |\n",
       "|   55.500 |  175.00 |\n",
       "|  100.000 |  157.00 |\n",
       "|   52.160 |  440.00 |\n",
       "|   10.550 |  179.50 |\n",
       "|    0.550 |    2.40 |\n",
       "|   60.000 |   81.00 |\n",
       "|    3.600 |   21.00 |\n",
       "|    4.288 |   39.20 |\n",
       "|    0.280 |    1.90 |\n",
       "|    0.075 |    1.20 |\n",
       "|    0.122 |    3.00 |\n",
       "|    0.048 |    0.33 |\n",
       "|  192.000 |  180.00 |\n",
       "|    3.000 |   25.00 |\n",
       "|  160.000 |  169.00 |\n",
       "|    0.900 |    2.60 |\n",
       "|    1.620 |   11.40 |\n",
       "|    0.104 |    2.50 |\n",
       "|    4.235 |   50.40 |\n",
       "\n"
      ],
      "text/plain": [
       "   brain_weight body_weight\n",
       "1     3.385       44.50    \n",
       "2     0.480       15.50    \n",
       "3     1.350        8.10    \n",
       "4   465.000      423.00    \n",
       "5    36.330      119.50    \n",
       "6    27.660      115.00    \n",
       "7    14.830       98.20    \n",
       "8     1.040        5.50    \n",
       "9     4.190       58.00    \n",
       "10    0.425        6.40    \n",
       "11    0.101        4.00    \n",
       "12    0.920        5.70    \n",
       "13    1.000        6.60    \n",
       "14    0.005        0.14    \n",
       "15    0.060        1.00    \n",
       "16    3.500       10.80    \n",
       "17    2.000       12.30    \n",
       "18    1.700        6.30    \n",
       "19 2547.000     4603.00    \n",
       "20    0.023        0.30    \n",
       "21  187.100      419.00    \n",
       "22  521.000      655.00    \n",
       "23    0.785        3.50    \n",
       "24   10.000      115.00    \n",
       "25    3.300       25.60    \n",
       "26    0.200        5.00    \n",
       "27    1.410       17.50    \n",
       "28  529.000      680.00    \n",
       "29  207.000      406.00    \n",
       "30   85.000      325.00    \n",
       "⋮  ⋮            ⋮          \n",
       "33 6654.000     5712.00    \n",
       "34    3.500        3.90    \n",
       "35    6.800      179.00    \n",
       "36   35.000       56.00    \n",
       "37    4.050       17.00    \n",
       "38    0.120        1.00    \n",
       "39    0.023        0.40    \n",
       "40    0.010        0.25    \n",
       "41    1.400       12.50    \n",
       "42  250.000      490.00    \n",
       "43    2.500       12.10    \n",
       "44   55.500      175.00    \n",
       "45  100.000      157.00    \n",
       "46   52.160      440.00    \n",
       "47   10.550      179.50    \n",
       "48    0.550        2.40    \n",
       "49   60.000       81.00    \n",
       "50    3.600       21.00    \n",
       "51    4.288       39.20    \n",
       "52    0.280        1.90    \n",
       "53    0.075        1.20    \n",
       "54    0.122        3.00    \n",
       "55    0.048        0.33    \n",
       "56  192.000      180.00    \n",
       "57    3.000       25.00    \n",
       "58  160.000      169.00    \n",
       "59    0.900        2.60    \n",
       "60    1.620       11.40    \n",
       "61    0.104        2.50    \n",
       "62    4.235       50.40    "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table>\n",
       "<caption>A data.frame: 6 × 2</caption>\n",
       "<thead>\n",
       "\t<tr><th></th><th scope=col>brain_weight</th><th scope=col>body_weight</th></tr>\n",
       "\t<tr><th></th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th></tr>\n",
       "</thead>\n",
       "<tbody>\n",
       "\t<tr><th scope=row>1</th><td>  3.385</td><td> 44.5</td></tr>\n",
       "\t<tr><th scope=row>2</th><td>  0.480</td><td> 15.5</td></tr>\n",
       "\t<tr><th scope=row>3</th><td>  1.350</td><td>  8.1</td></tr>\n",
       "\t<tr><th scope=row>4</th><td>465.000</td><td>423.0</td></tr>\n",
       "\t<tr><th scope=row>5</th><td> 36.330</td><td>119.5</td></tr>\n",
       "\t<tr><th scope=row>6</th><td> 27.660</td><td>115.0</td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "A data.frame: 6 × 2\n",
       "\\begin{tabular}{r|ll}\n",
       "  & brain\\_weight & body\\_weight\\\\\n",
       "  & <dbl> & <dbl>\\\\\n",
       "\\hline\n",
       "\t1 &   3.385 &  44.5\\\\\n",
       "\t2 &   0.480 &  15.5\\\\\n",
       "\t3 &   1.350 &   8.1\\\\\n",
       "\t4 & 465.000 & 423.0\\\\\n",
       "\t5 &  36.330 & 119.5\\\\\n",
       "\t6 &  27.660 & 115.0\\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "A data.frame: 6 × 2\n",
       "\n",
       "| <!--/--> | brain_weight &lt;dbl&gt; | body_weight &lt;dbl&gt; |\n",
       "|---|---|---|\n",
       "| 1 |   3.385 |  44.5 |\n",
       "| 2 |   0.480 |  15.5 |\n",
       "| 3 |   1.350 |   8.1 |\n",
       "| 4 | 465.000 | 423.0 |\n",
       "| 5 |  36.330 | 119.5 |\n",
       "| 6 |  27.660 | 115.0 |\n",
       "\n"
      ],
      "text/plain": [
       "  brain_weight body_weight\n",
       "1   3.385       44.5      \n",
       "2   0.480       15.5      \n",
       "3   1.350        8.1      \n",
       "4 465.000      423.0      \n",
       "5  36.330      119.5      \n",
       "6  27.660      115.0      "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "head(data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[1] \"En este caso, nuestra característica es el peso del cuerpo y la etiqueta es el peso del cerebro\"\n"
     ]
    }
   ],
   "source": [
    "print(\"En este caso, nuestra característica es el peso del cuerpo y la etiqueta es el peso del cerebro\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "198.789983870968"
      ],
      "text/latex": [
       "198.789983870968"
      ],
      "text/markdown": [
       "198.789983870968"
      ],
      "text/plain": [
       "[1] 198.79"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "mean(data$brain_weight)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "283.134193548387"
      ],
      "text/latex": [
       "283.134193548387"
      ],
      "text/markdown": [
       "283.134193548387"
      ],
      "text/plain": [
       "[1] 283.1342"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "mean(data$body_weight)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "0.005"
      ],
      "text/latex": [
       "0.005"
      ],
      "text/markdown": [
       "0.005"
      ],
      "text/plain": [
       "[1] 0.005"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "min(data$brain_weight)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "6654"
      ],
      "text/latex": [
       "6654"
      ],
      "text/markdown": [
       "6654"
      ],
      "text/plain": [
       "[1] 6654"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "max(data$brain_weight)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "    Min.  1st Qu.   Median     Mean  3rd Qu.     Max. \n",
       "   0.005    0.600    3.342  198.790   48.202 6654.000 "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "summary(data$brain_weight)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "   Min. 1st Qu.  Median    Mean 3rd Qu.    Max. \n",
       "   0.14    4.25   17.25  283.13  166.00 5712.00 "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "summary(data$body_weight)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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QIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIE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AAAIIIIAAAggggAACCCCAAAIIIIAAAggg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",
      "text/plain": [
       "Plot with title “Histogram of data$brain_weight”"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 420,
       "width": 420
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "hist(data$brain_weight)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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ya3T+o7HZcn65P6SNEfJN9JNAItCnwtnT4kqe9Y1Q1PPpAcldRVn3Gt/s1sP27D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\nRU5ErkJggg==",
      "text/plain": [
       "Plot with title “Histogram of data$body_weight”"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 420,
       "width": 420
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "hist(data$body_weight)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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QIECBAgQIDAuAQUSOOStV0CBAgQIECA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\ntBg31QcAAAAASUVORK5CYII=",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 420,
       "width": 420
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Boxplot que representa la distribución de la variable peso de cerebro, con muchísimos datos anormales q\n",
    "boxplot(data$brain_weight)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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PVnrhwpAQIECBAgQIAAAQIzFlAgzRjY5gkQIECAAAECBAgQ6I+AAqk/c+VICRAg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\nECBAgAABAgQIECBAgAABAgQIzE7g/weWlo1EWYgdZQAAAABJRU5ErkJggg==",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 420,
       "width": 420
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Boxplot que representa la distribución de la variable peso de cuerbo, con muchísimos datos anormales \n",
    "boxplot(data$body_weight)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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QIECLRXQIHU3rF1ZAQIECBAgAABAgQI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AAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEE\nEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAAB\nBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAA\nAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAAgb4J/D8hwNbAFsAK0wAAAABJRU5ErkJg\ngg==",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 420,
       "width": 420
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "#Gráfica de dispersión\n",
    "#Scatter plot\n",
    "#data$brain_weight es característica y data$body_weight es la etiqueta\n",
    "\n",
    "plot(data$body_weight,data$brain_weight, xlab =\"Peso Cuerpo\", ylab=\"Peso Cerebro\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "0.934163842323355"
      ],
      "text/latex": [
       "0.934163842323355"
      ],
      "text/markdown": [
       "0.934163842323355"
      ],
      "text/plain": [
       "[1] 0.9341638"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[1] \"Por lo tanto, hay mucha correlación\"\n"
     ]
    }
   ],
   "source": [
    "#Correlación entre dos variables\n",
    "#Si es muy cercano a uno, hay mucha correlación.\n",
    "#Si es cercano a cero, las variables son independientes.\n",
    "#Si la correlación es negativa, hay una relación linal pero cuando una crece, la otra decrece.\n",
    "cor(data$body_weight, data$brain_weight)\n",
    "\n",
    "print(\"Por lo tanto, hay mucha correlación\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "\n",
       "Call:\n",
       "lm(formula = brain_weight ~ body_weight, data = data)\n",
       "\n",
       "Residuals:\n",
       "     Min       1Q   Median       3Q      Max \n",
       "-1552.25    -8.00    47.36    55.10  1553.42 \n",
       "\n",
       "Coefficients:\n",
       "             Estimate Std. Error t value Pr(>|t|)    \n",
       "(Intercept) -56.85555   42.97805  -1.323    0.191    \n",
       "body_weight   0.90291    0.04453  20.278   <2e-16 ***\n",
       "---\n",
       "Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1\n",
       "\n",
       "Residual standard error: 323.5 on 60 degrees of freedom\n",
       "Multiple R-squared:  0.8727,\tAdjusted R-squared:  0.8705 \n",
       "F-statistic: 411.2 on 1 and 60 DF,  p-value: < 2.2e-16\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Linear model\n",
    "r <- lm(brain_weight ~ body_weight, data = data)\n",
    "\n",
    "#Resumen estadístico\n",
    "summary(r)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
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UY7SRu1voxMY+NsEwEEEEAAAQSSF1A42r7HlZ/TqXVXXt73x9vkO8EWEYhGwKtT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\nRcXRlLkhrJX3+TB+BBBAAAEEECi8QKEKpKJfpGE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Q9fAaBBBAAAEE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\njAAAAABJRU5ErkJggg==",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 420,
       "width": 420
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "#Gráfica de dispersión con línea de modelo lineal\n",
    "plot(data$brain_weight,data$body_weight)\n",
    "abline(r,col=\"red\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Fórmula\n",
    "\n",
    "# Brain Weight = body.estimate * (body weight) + intercept.estimate"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[1] \"Dado el data set y calculando el modelo lineal, para un peso de cuerpo de 100 kg, el peso del cerebro estimado en kg es: \"\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "846.05445"
      ],
      "text/latex": [
       "846.05445"
      ],
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       "846.05445"
      ],
      "text/plain": [
       "[1] 846.0544"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "print(\"Dado el data set y calculando el modelo lineal, para un peso de cuerpo de 100 kg, el peso del cerebro estimado en kg es: \")\n",
    "\n",
    "0.90291 * 1000 + -56.85555 "
   ]
  }
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