ANALISE_MUDANCAS_CLIMATICAS.ipynb

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        "# Mudanças Climáticas\n",
        "\n",
        "O objetio deste notebook, é criar um modelo que possa analisar a relação entre algumas variáveis e a temperatura. \n",
        "\n",
        "Analisando como alterações nessas variáveis afetam as temperaturas futuras e como essas variáveis explicam as mudanças na temperatura. \n",
        "Para tanto, será criado um modelo que possa prever a variável Temp usando MEI, CO2, CH4, N2O, CFC.11, CFC.12, TSI e Aerosol.\n",
        "\n",
        "O arquivo [climate_change.csv](https://raw.githubusercontent.com/abnr/ml-data/main/climate_change.csv) tem dados climáticos de Maio de 1983 até Dezembro de 2008, com a variáveis:\n",
        "\n",
        "* Year: o ano da observação.\n",
        "* Month: o mês da observação.\n",
        "* Temperature: a diferença em graus Celsius entre a média global de temperatura naquele período e um valor de referência. Dado proveniente da [Climatic Research Unit at the University of East Anglia](https://sites.uea.ac.uk/cru/).\n",
        "* CO2, N2O, CH4, CFC.11, CFC.12: concentração atmosférica de dióxido de carbono (CO2), óxido nitroso (N2O), metano (CH4), triclorofluormetano (CCl3F, conhecido como CFC-11) e diclorofluormetano (CCl2F2, conhecido como CFC-12). Esses dados foram coletados da  [ESRL/NOAA Global Monitoring Division](http://www.esrl.noaa.gov/gmd/ccgg/data-products.html).\n",
        "* Aerosols:  a media da profundidade óptica do aerosol estratosférico à 500 nm. Essa variável é ligada com a atividade vulcânica, já que essa atividade lança partículas na atmosfera que afetam o quanto da energia do sol é refletida novamente para o espaço. Esse dado é do [Godard Institute for Space Studies at NASA](http://data.giss.nasa.gov/modelforce/strataer/).\n",
        "* TSI: o total da irradiãncia solar em W/m2 (a quantidade de energia solar depositada por unidade de área). Devido a manchas solares e outros fenômenos solares, essa quantidade de energia pode variar com o tempo. Dado proveniente do [SOLARIS-HEPPA](http://solarisheppa.geomar.de/solarisheppa/cmip5).\n",
        "* MEI: multivariate El Nino Southern Oscillation index (MEI), uma medida de força do El Nino/La Nina. Dado do [ESRL/NOAA Physical Sciences Division](https://www.esrl.noaa.gov/psd/).\n"
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            "/usr/local/lib/python3.7/dist-packages/statsmodels/tools/_testing.py:19: FutureWarning: pandas.util.testing is deprecated. Use the functions in the public API at pandas.testing instead.\n",
            "  import pandas.util.testing as tm\n"
          ]
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      ],
      "source": [
        "#importando as bibliotecas\n",
        "\n",
        "import pandas as pd\n",
        "import numpy as np\n",
        "import matplotlib.pyplot as plt\n",
        "import seaborn as sns\n",
        "import statsmodels.api as sm\n",
        "import statsmodels.stats.api as sms\n",
        "import statsmodels.tsa.api as smt\n",
        "from scipy import stats\n",
        "from scipy.stats.stats import pearsonr\n",
        "import scipy\n",
        "from sklearn.metrics import r2_score, mean_squared_error\n",
        "from statsmodels.stats.outliers_influence import summary_table\n",
        "from statsmodels.stats.outliers_influence import variance_inflation_factor"
      ]
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        "#Datasets"
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        "df = pd.read_csv('https://raw.githubusercontent.com/abnr/ml-data/main/climate_change.csv')"
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              "      <td>1983</td>\n",
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              "   Year  Month    MEI     CO2      CH4      N2O   CFC-11   CFC-12        TSI  \\\n",
              "0  1983      5  2.556  345.96  1638.59  303.677  191.324  350.113  1366.1024   \n",
              "1  1983      6  2.167  345.52  1633.71  303.746  192.057  351.848  1366.1208   \n",
              "2  1983      7  1.741  344.15  1633.22  303.795  192.818  353.725  1366.2850   \n",
              "3  1983      8  1.130  342.25  1631.35  303.839  193.602  355.633  1366.4202   \n",
              "4  1983      9  0.428  340.17  1648.40  303.901  194.392  357.465  1366.2335   \n",
              "\n",
              "   Aerosols   Temp  \n",
              "0    0.0863  0.109  \n",
              "1    0.0794  0.118  \n",
              "2    0.0731  0.137  \n",
              "3    0.0673  0.176  \n",
              "4    0.0619  0.149  "
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        "#separando os datasets em treino\n",
        "#treino\n",
        "df_treino=df.loc[df['Year']<=2006,:]\n",
        "y_treino=df_treino['Temp']\n",
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              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
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              "      fill: #FFFFFF;\n",
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              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-f9e90f41-8935-4b53-8c74-e7ccf7610c8c button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-f9e90f41-8935-4b53-8c74-e7ccf7610c8c');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ],
            "text/plain": [
              "     MEI     CO2      CH4      N2O   CFC-11   CFC-12        TSI  Aerosols\n",
              "0  2.556  345.96  1638.59  303.677  191.324  350.113  1366.1024    0.0863\n",
              "1  2.167  345.52  1633.71  303.746  192.057  351.848  1366.1208    0.0794\n",
              "2  1.741  344.15  1633.22  303.795  192.818  353.725  1366.2850    0.0731\n",
              "3  1.130  342.25  1631.35  303.839  193.602  355.633  1366.4202    0.0673\n",
              "4  0.428  340.17  1648.40  303.901  194.392  357.465  1366.2335    0.0619"
            ]
          },
          "metadata": {},
          "execution_count": 5
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#separando os datasets de teste\n",
        "#teste\n",
        "df_teste=df.loc[df['Year']>=2006,:]\n",
        "y_teste=df_teste['Temp']\n",
        "x_teste=df_teste.drop(columns=['Year','Month','Temp'])"
      ],
      "metadata": {
        "id": "jt8jNQJYL-Jb"
      },
      "execution_count": 6,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "x_teste.head()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        },
        "id": "KGaPXTbbYmFH",
        "outputId": "70ca70d6-ca60-4552-86a0-358871079ba0"
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      "execution_count": 7,
      "outputs": [
        {
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          "data": {
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              "\n",
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              "      <th></th>\n",
              "      <th>MEI</th>\n",
              "      <th>CO2</th>\n",
              "      <th>CH4</th>\n",
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              "    <tr>\n",
              "      <th>276</th>\n",
              "      <td>-0.036</td>\n",
              "      <td>384.98</td>\n",
              "      <td>1798.85</td>\n",
              "      <td>319.848</td>\n",
              "      <td>249.839</td>\n",
              "      <td>540.456</td>\n",
              "      <td>1365.9230</td>\n",
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              "          const element = document.querySelector('#df-177bab0d-993a-40f9-b314-497fd22219b6');\n",
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              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
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              "        }\n",
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              "    </div>\n",
              "  </div>\n",
              "  "
            ],
            "text/plain": [
              "       MEI     CO2      CH4      N2O   CFC-11   CFC-12        TSI  Aerosols\n",
              "272 -0.471  381.35  1795.03  319.826  250.771  541.627  1365.8986    0.0034\n",
              "273 -0.455  382.16  1786.41  319.947  250.484  541.273  1365.8728    0.0033\n",
              "274 -0.591  382.66  1786.77  319.902  250.155  540.952  1365.7850    0.0032\n",
              "275 -0.688  384.73  1801.19  319.815  249.989  540.741  1365.8058    0.0032\n",
              "276 -0.036  384.98  1798.85  319.848  249.839  540.456  1365.9230    0.0030"
            ]
          },
          "metadata": {},
          "execution_count": 7
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "#Inspeção de dados"
      ],
      "metadata": {
        "id": "xGDXYf0GMuGV"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "df_treino.info()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "y8ATtdYYMwqX",
        "outputId": "5f0239a1-7bbe-456b-d69c-2d39ee82b7a0"
      },
      "execution_count": 8,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "Int64Index: 284 entries, 0 to 283\n",
            "Data columns (total 11 columns):\n",
            " #   Column    Non-Null Count  Dtype  \n",
            "---  ------    --------------  -----  \n",
            " 0   Year      284 non-null    int64  \n",
            " 1   Month     284 non-null    int64  \n",
            " 2   MEI       284 non-null    float64\n",
            " 3   CO2       284 non-null    float64\n",
            " 4   CH4       284 non-null    float64\n",
            " 5   N2O       284 non-null    float64\n",
            " 6   CFC-11    284 non-null    float64\n",
            " 7   CFC-12    284 non-null    float64\n",
            " 8   TSI       284 non-null    float64\n",
            " 9   Aerosols  284 non-null    float64\n",
            " 10  Temp      284 non-null    float64\n",
            "dtypes: float64(9), int64(2)\n",
            "memory usage: 26.6 KB\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df_treino.describe().T"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 394
        },
        "id": "NldqrVusNCay",
        "outputId": "c6e8e905-85ab-42c3-8ece-fbadeeaf2d45"
      },
      "execution_count": 9,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "\n",
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              "      <th></th>\n",
              "      <th>count</th>\n",
              "      <th>mean</th>\n",
              "      <th>std</th>\n",
              "      <th>min</th>\n",
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              "      <th>max</th>\n",
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              "  <tbody>\n",
              "    <tr>\n",
              "      <th>Year</th>\n",
              "      <td>284.0</td>\n",
              "      <td>1994.661972</td>\n",
              "      <td>6.845996</td>\n",
              "      <td>1983.0000</td>\n",
              "      <td>1989.00000</td>\n",
              "      <td>1995.0000</td>\n",
              "      <td>2001.000000</td>\n",
              "      <td>2006.0000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Month</th>\n",
              "      <td>284.0</td>\n",
              "      <td>6.556338</td>\n",
              "      <td>3.446768</td>\n",
              "      <td>1.0000</td>\n",
              "      <td>4.00000</td>\n",
              "      <td>7.0000</td>\n",
              "      <td>10.000000</td>\n",
              "      <td>12.0000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>MEI</th>\n",
              "      <td>284.0</td>\n",
              "      <td>0.341923</td>\n",
              "      <td>0.929639</td>\n",
              "      <td>-1.5860</td>\n",
              "      <td>-0.32300</td>\n",
              "      <td>0.3085</td>\n",
              "      <td>0.898000</td>\n",
              "      <td>3.0010</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>CO2</th>\n",
              "      <td>284.0</td>\n",
              "      <td>361.414261</td>\n",
              "      <td>11.439691</td>\n",
              "      <td>340.1700</td>\n",
              "      <td>352.31500</td>\n",
              "      <td>359.8900</td>\n",
              "      <td>370.585000</td>\n",
              "      <td>384.9800</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>CH4</th>\n",
              "      <td>284.0</td>\n",
              "      <td>1745.841479</td>\n",
              "      <td>45.669846</td>\n",
              "      <td>1629.8900</td>\n",
              "      <td>1716.34750</td>\n",
              "      <td>1758.6050</td>\n",
              "      <td>1781.637500</td>\n",
              "      <td>1808.1500</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>N2O</th>\n",
              "      <td>284.0</td>\n",
              "      <td>311.657225</td>\n",
              "      <td>4.758513</td>\n",
              "      <td>303.6770</td>\n",
              "      <td>307.65700</td>\n",
              "      <td>310.8495</td>\n",
              "      <td>316.129250</td>\n",
              "      <td>320.4510</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>CFC-11</th>\n",
              "      <td>284.0</td>\n",
              "      <td>252.487092</td>\n",
              "      <td>20.987671</td>\n",
              "      <td>191.3240</td>\n",
              "      <td>249.55775</td>\n",
              "      <td>260.3735</td>\n",
              "      <td>267.448000</td>\n",
              "      <td>271.4940</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>CFC-12</th>\n",
              "      <td>284.0</td>\n",
              "      <td>494.217546</td>\n",
              "      <td>59.046642</td>\n",
              "      <td>350.1130</td>\n",
              "      <td>462.54300</td>\n",
              "      <td>522.0890</td>\n",
              "      <td>540.972750</td>\n",
              "      <td>543.8130</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>TSI</th>\n",
              "      <td>284.0</td>\n",
              "      <td>1366.101437</td>\n",
              "      <td>0.401283</td>\n",
              "      <td>1365.4261</td>\n",
              "      <td>1365.75455</td>\n",
              "      <td>1366.0545</td>\n",
              "      <td>1366.399275</td>\n",
              "      <td>1367.3162</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Aerosols</th>\n",
              "      <td>284.0</td>\n",
              "      <td>0.017721</td>\n",
              "      <td>0.030014</td>\n",
              "      <td>0.0016</td>\n",
              "      <td>0.00270</td>\n",
              "      <td>0.0062</td>\n",
              "      <td>0.014000</td>\n",
              "      <td>0.1494</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Temp</th>\n",
              "      <td>284.0</td>\n",
              "      <td>0.247799</td>\n",
              "      <td>0.181136</td>\n",
              "      <td>-0.2820</td>\n",
              "      <td>0.11800</td>\n",
              "      <td>0.2325</td>\n",
              "      <td>0.406500</td>\n",
              "      <td>0.7390</td>\n",
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              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-a49abd66-dd17-4f76-a2fb-0e799b632720 button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-a49abd66-dd17-4f76-a2fb-0e799b632720');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ],
            "text/plain": [
              "          count         mean        std        min         25%        50%  \\\n",
              "Year      284.0  1994.661972   6.845996  1983.0000  1989.00000  1995.0000   \n",
              "Month     284.0     6.556338   3.446768     1.0000     4.00000     7.0000   \n",
              "MEI       284.0     0.341923   0.929639    -1.5860    -0.32300     0.3085   \n",
              "CO2       284.0   361.414261  11.439691   340.1700   352.31500   359.8900   \n",
              "CH4       284.0  1745.841479  45.669846  1629.8900  1716.34750  1758.6050   \n",
              "N2O       284.0   311.657225   4.758513   303.6770   307.65700   310.8495   \n",
              "CFC-11    284.0   252.487092  20.987671   191.3240   249.55775   260.3735   \n",
              "CFC-12    284.0   494.217546  59.046642   350.1130   462.54300   522.0890   \n",
              "TSI       284.0  1366.101437   0.401283  1365.4261  1365.75455  1366.0545   \n",
              "Aerosols  284.0     0.017721   0.030014     0.0016     0.00270     0.0062   \n",
              "Temp      284.0     0.247799   0.181136    -0.2820     0.11800     0.2325   \n",
              "\n",
              "                  75%        max  \n",
              "Year      2001.000000  2006.0000  \n",
              "Month       10.000000    12.0000  \n",
              "MEI          0.898000     3.0010  \n",
              "CO2        370.585000   384.9800  \n",
              "CH4       1781.637500  1808.1500  \n",
              "N2O        316.129250   320.4510  \n",
              "CFC-11     267.448000   271.4940  \n",
              "CFC-12     540.972750   543.8130  \n",
              "TSI       1366.399275  1367.3162  \n",
              "Aerosols     0.014000     0.1494  \n",
              "Temp         0.406500     0.7390  "
            ]
          },
          "metadata": {},
          "execution_count": 9
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#verificando a existência de valores nulos\n",
        "df_treino.isnull().sum().sort_values(ascending=True)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Tdu5r39YM5aM",
        "outputId": "f790b683-9296-476b-fb79-2c6fdde8a90e"
      },
      "execution_count": 10,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Year        0\n",
              "Month       0\n",
              "MEI         0\n",
              "CO2         0\n",
              "CH4         0\n",
              "N2O         0\n",
              "CFC-11      0\n",
              "CFC-12      0\n",
              "TSI         0\n",
              "Aerosols    0\n",
              "Temp        0\n",
              "dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 10
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#checando a duplicdade das linhas\n",
        "df_treino.duplicated().sum()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "H9sto0jZNbhK",
        "outputId": "26eaa764-3294-461f-f988-129226f3e6cc"
      },
      "execution_count": 11,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0"
            ]
          },
          "metadata": {},
          "execution_count": 11
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#analisando o histograma das variáveis\n",
        "\n",
        "df_treino.hist(figsize=(10,15))\n",
        "plt.show();"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 879
        },
        "id": "NJrKFiJFP7mR",
        "outputId": "9151b0ed-9bd9-45e5-833d-38373c326bf4"
      },
      "execution_count": 12,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 720x1080 with 12 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#analisando graficamente as possíveis correlações entre as variáveis do dataset de treino\n",
        "colunas=x_treino.columns\n",
        "sns.pairplot(df_treino.loc[:,colunas],diag_kind='kde', kind='reg',corner=True);"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "lfh37gRDQedQ",
        "outputId": "705ce5d7-cf3d-43f6-a219-c2dea81c58ac"
      },
      "execution_count": 13,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1440x1440 with 44 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#analisando a correlação entre as variáveis pelo heatmap\n",
        "plt.figure(figsize=(25,15))\n",
        "sns.heatmap(df_treino.corr(),annot=True)\n",
        "plt.show();"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 781
        },
        "id": "UA041ikhTdd5",
        "outputId": "a1398bc9-c30b-4b1b-dfd7-3346e36a74c9"
      },
      "execution_count": 14,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1800x1080 with 2 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "#Criação do modelo"
      ],
      "metadata": {
        "id": "Kr27YSUuUN33"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "#criando o modelo\n",
        "x_treinoc=sm.add_constant(x_treino)\n",
        "model=sm.OLS(y_treino,x_treinoc)\n",
        "results=model.fit()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "LaxrkkiyUSB2",
        "outputId": "12fd1b11-fe37-4063-89c4-c7513a2ffb3e"
      },
      "execution_count": 15,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.7/dist-packages/statsmodels/tsa/tsatools.py:117: FutureWarning: In a future version of pandas all arguments of concat except for the argument 'objs' will be keyword-only\n",
            "  x = pd.concat(x[::order], 1)\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "print(results.summary())"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "C-RGHmDLUxX5",
        "outputId": "427a88f6-5387-486d-bf68-768b5aefec27"
      },
      "execution_count": 16,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                            OLS Regression Results                            \n",
            "==============================================================================\n",
            "Dep. Variable:                   Temp   R-squared:                       0.751\n",
            "Model:                            OLS   Adj. R-squared:                  0.744\n",
            "Method:                 Least Squares   F-statistic:                     103.6\n",
            "Date:                Sun, 06 Mar 2022   Prob (F-statistic):           1.94e-78\n",
            "Time:                        23:41:20   Log-Likelihood:                 280.10\n",
            "No. Observations:                 284   AIC:                            -542.2\n",
            "Df Residuals:                     275   BIC:                            -509.4\n",
            "Df Model:                           8                                         \n",
            "Covariance Type:            nonrobust                                         \n",
            "==============================================================================\n",
            "                 coef    std err          t      P>|t|      [0.025      0.975]\n",
            "------------------------------------------------------------------------------\n",
            "const       -124.5943     19.887     -6.265      0.000    -163.744     -85.445\n",
            "MEI            0.0642      0.006      9.923      0.000       0.051       0.077\n",
            "CO2            0.0065      0.002      2.826      0.005       0.002       0.011\n",
            "CH4            0.0001      0.001      0.240      0.810      -0.001       0.001\n",
            "N2O           -0.0165      0.009     -1.930      0.055      -0.033       0.000\n",
            "CFC-11        -0.0066      0.002     -4.078      0.000      -0.010      -0.003\n",
            "CFC-12         0.0038      0.001      3.757      0.000       0.002       0.006\n",
            "TSI            0.0931      0.015      6.313      0.000       0.064       0.122\n",
            "Aerosols      -1.5376      0.213     -7.210      0.000      -1.957      -1.118\n",
            "==============================================================================\n",
            "Omnibus:                        8.740   Durbin-Watson:                   0.956\n",
            "Prob(Omnibus):                  0.013   Jarque-Bera (JB):               10.327\n",
            "Skew:                           0.289   Prob(JB):                      0.00572\n",
            "Kurtosis:                       3.733   Cond. No.                     8.53e+06\n",
            "==============================================================================\n",
            "\n",
            "Warnings:\n",
            "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n",
            "[2] The condition number is large, 8.53e+06. This might indicate that there are\n",
            "strong multicollinearity or other numerical problems.\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#Como as variáveis CH4 e N2O possuem o p-value maior que 5%, aceita-se assim H0(As variáveis são iguais a 0)\n",
        "#Cria-se um novo modelo tirando estas variáveis"
      ],
      "metadata": {
        "id": "MPYkV-KlZHyb"
      },
      "execution_count": 17,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "#criando novos datasets\n",
        "#treino\n",
        "df_treino2=df.loc[df['Year']<=2006,:]\n",
        "y_treino2=df_treino2['Temp']\n",
        "x_treino2=df_treino2.drop(columns=['Year','Month','Temp','CH4','N2O'])\n",
        "\n",
        "#teste\n",
        "df_teste2=df.loc[df['Year']>=2006,:]\n",
        "y_teste2=df_teste2['Temp']\n",
        "x_teste2=df_teste2.drop(columns=['Year','Month','Temp','CH4','N2O'])"
      ],
      "metadata": {
        "id": "e2QyQaRjbOdm"
      },
      "execution_count": 18,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "#criando um novo modelo\n",
        "x_treino2c=sm.add_constant(x_treino2)\n",
        "model2=sm.OLS(y_treino2,x_treino2c)\n",
        "results2=model2.fit()\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "yVUdCRGubxdq",
        "outputId": "3ade6394-bcf6-475b-a51a-a731791aab74"
      },
      "execution_count": 19,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.7/dist-packages/statsmodels/tsa/tsatools.py:117: FutureWarning: In a future version of pandas all arguments of concat except for the argument 'objs' will be keyword-only\n",
            "  x = pd.concat(x[::order], 1)\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "print(results2.summary())"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "y1OHvGrZb8J2",
        "outputId": "ada40915-59c5-4f28-8120-5bccf8630b77"
      },
      "execution_count": 20,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                            OLS Regression Results                            \n",
            "==============================================================================\n",
            "Dep. Variable:                   Temp   R-squared:                       0.747\n",
            "Model:                            OLS   Adj. R-squared:                  0.742\n",
            "Method:                 Least Squares   F-statistic:                     136.6\n",
            "Date:                Sun, 06 Mar 2022   Prob (F-statistic):           9.15e-80\n",
            "Time:                        23:41:56   Log-Likelihood:                 278.16\n",
            "No. Observations:                 284   AIC:                            -542.3\n",
            "Df Residuals:                     277   BIC:                            -516.8\n",
            "Df Model:                           6                                         \n",
            "Covariance Type:            nonrobust                                         \n",
            "==============================================================================\n",
            "                 coef    std err          t      P>|t|      [0.025      0.975]\n",
            "------------------------------------------------------------------------------\n",
            "const       -122.2527     19.913     -6.139      0.000    -161.453     -83.052\n",
            "MEI            0.0642      0.006      9.932      0.000       0.051       0.077\n",
            "CO2            0.0041      0.002      2.106      0.036       0.000       0.008\n",
            "CFC-11        -0.0043      0.001     -3.891      0.000      -0.006      -0.002\n",
            "CFC-12         0.0024      0.001      3.778      0.000       0.001       0.004\n",
            "TSI            0.0885      0.015      6.060      0.000       0.060       0.117\n",
            "Aerosols      -1.5665      0.213     -7.347      0.000      -1.986      -1.147\n",
            "==============================================================================\n",
            "Omnibus:                       10.683   Durbin-Watson:                   0.927\n",
            "Prob(Omnibus):                  0.005   Jarque-Bera (JB):               13.851\n",
            "Skew:                           0.308   Prob(JB):                     0.000982\n",
            "Kurtosis:                       3.889   Cond. No.                     5.54e+06\n",
            "==============================================================================\n",
            "\n",
            "Warnings:\n",
            "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n",
            "[2] The condition number is large, 5.54e+06. This might indicate that there are\n",
            "strong multicollinearity or other numerical problems.\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#criando as variaveis predict\n",
        "x_testec=sm.add_constant(x_teste2)\n",
        "y_teste_p=results2.predict(x_testec)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "fXshJQ2VfZ2C",
        "outputId": "39c47be6-c6dd-4d1b-d14c-3dcf0256d483"
      },
      "execution_count": 21,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.7/dist-packages/statsmodels/tsa/tsatools.py:117: FutureWarning: In a future version of pandas all arguments of concat except for the argument 'objs' will be keyword-only\n",
            "  x = pd.concat(x[::order], 1)\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "x_treino2_c = sm.add_constant(x_treino2)\n",
        "y_treino_p=results2.predict(x_treino2_c)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "2YA7tQxZgfhS",
        "outputId": "bde9a090-99af-443b-aa83-d290eb64ed2d"
      },
      "execution_count": 22,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.7/dist-packages/statsmodels/tsa/tsatools.py:117: FutureWarning: In a future version of pandas all arguments of concat except for the argument 'objs' will be keyword-only\n",
            "  x = pd.concat(x[::order], 1)\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#MSE e MAPE para variáveis de treino\n",
        "mse_treino2 = mean_squared_error(y_treino2, y_treino_p)\n",
        "mape=np.sqrt(mse_treino2)\n",
        "print(mse_treino2,mape)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "_LA8g-twfAtt",
        "outputId": "e1e4e0f5-8034-4a49-ebab-6a9d9c6fe160"
      },
      "execution_count": 23,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "0.008256453693186942 0.09086503008961666\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#MSE e MAPE para variáveis de teste\n",
        "mse_teste2 = mean_squared_error(y_teste2, y_teste_p)\n",
        "mape_teste=np.sqrt(mse_teste2)\n",
        "print(mse_teste2,mape_teste)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "a5B4i1J0g8ts",
        "outputId": "f008cd96-3406-434d-d31b-94afd11ab409"
      },
      "execution_count": 24,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "0.007661867214088063 0.08753209248091846\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#Pelos testes de MSE e MAPE para os datasets de treino e teste, verifica-se que os resultados estão próximos"
      ],
      "metadata": {
        "id": "g691xBreiEhC"
      },
      "execution_count": 25,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Premissas do modelo"
      ],
      "metadata": {
        "id": "cis9cR6le76G"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "# 1 Linearidade\n",
        "Variável target pode ser estimada através da combinação linear entre as variáveis de entrada."
      ],
      "metadata": {
        "id": "fFxakz99ifj2"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "sns.regplot(y_teste2, y_teste_p);"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 334
        },
        "id": "hU4JwkoqiZhR",
        "outputId": "fbd815a7-f9c1-404b-c347-bd5d4e8f649c"
      },
      "execution_count": 26,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.7/dist-packages/seaborn/_decorators.py:43: FutureWarning: Pass the following variables as keyword args: x, y. From version 0.12, the only valid positional argument will be `data`, and passing other arguments without an explicit keyword will result in an error or misinterpretation.\n",
            "  FutureWarning\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#pelo gráfico não é possível afirmr que a variável Temp pode ser determinada pelas variáveis d eentrada"
      ],
      "metadata": {
        "id": "FmsSuDReisDl"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "# 2 - Resíduos( diferença entre a resutado real e o previsto) tem médias iguais a 0\n",
        "A regressão linear assume que o que não é capturado pelo modelo, os resíduos, tem média 0."
      ],
      "metadata": {
        "id": "dL-SuHsPke_6"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "results2.resid.mean(0)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "BbLv7JofnaFw",
        "outputId": "81938b5d-47d6-41e9-fd97-0999b48ce6c4"
      },
      "execution_count": 27,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "1.587409781087856e-13"
            ]
          },
          "metadata": {},
          "execution_count": 27
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#pelo resultado anterior. a diferença entre o resultado real e o previsto é igual a 0"
      ],
      "metadata": {
        "id": "bPz01TienirC"
      },
      "execution_count": 28,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "# 3 - Sem multicolinariedade (forte)\n",
        "As variáveis não podem ser fortemente correlacionadas entre si. Em outras palavras, não deve ser possível prever uma variável de entrada a partir de outra."
      ],
      "metadata": {
        "id": "-D3BD88Cnyca"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "from IPython.core.pylabtools import figsize\n",
        "plt.subplots(figsize=(20,20))\n",
        "\n",
        "sns.heatmap(df_treino2.corr(),mask = np.triu(df_treino2.corr()), annot= True, square = True);"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "l4_Wxukbn2hr",
        "outputId": "4d2af8b5-5398-4e10-f2ac-1226d93e0528"
      },
      "execution_count": 29,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1440x1440 with 2 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#Pelo heatmap anterior, percebe-se que existe correlação elevada considerando as variáveis de x_treino2"
      ],
      "metadata": {
        "id": "5yraoN0IoiGd"
      },
      "execution_count": 30,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "# 4 - Homecedasticidade dos resíduos\n",
        "A regressão assume que os resíduos possuem variância igual. Quando a variância dos resíduos não é constante dizemos que possui heteroscedasticidade."
      ],
      "metadata": {
        "id": "Ggp_5oRfo-Ht"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "y_pred=results2.predict(x_treino2_c)\n",
        "sns.regplot( y_pred, results2.resid );"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 320
        },
        "id": "CFvdTxArpE_a",
        "outputId": "8d5945e4-957c-4dde-95b6-01b137e7fb71"
      },
      "execution_count": 32,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.7/dist-packages/seaborn/_decorators.py:43: FutureWarning: Pass the following variables as keyword args: x, y. From version 0.12, the only valid positional argument will be `data`, and passing other arguments without an explicit keyword will result in an error or misinterpretation.\n",
            "  FutureWarning\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "H0  do teste Goldfeld-Quandt assume que os resíduos são homoscedasticos. \n"
      ],
      "metadata": {
        "id": "fPf6Tau1pbNE"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "t, p, _ = sms.het_goldfeldquandt(results2.resid, x_treino2_c)\n",
        "print(p)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "6B_WqHX7pWOi",
        "outputId": "297e9746-f033-4b5c-f598-dbdaa5ba4517"
      },
      "execution_count": 33,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "0.27760897262953643\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#Pelo gráfico e pelo p-value calculado, verifica-se que os resíduos são homocedasticos, ou seja, a variância dos resíduos são constantes"
      ],
      "metadata": {
        "id": "ebDpgg0BpnW-"
      },
      "execution_count": 34,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "# 5 - Resíduos não podem ser autocorrelacionados\n",
        "Autocorrelação nos resíduos significa que o resíduo depende de valores anteriores dos resíduos. Durbin Watson Test A saída do teste é sempre entre 0 e 4, onde:\n",
        "\n",
        "Valor igual a 2 significa que não tem autocorrelação nos resíduos. Valor < 2 indica correlação positiva nos resíduos. Valor > 2 indica correlação negativa nos resíduos."
      ],
      "metadata": {
        "id": "VJWc47EPp6pk"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "acf = smt.graphics.plot_acf( results2.resid, lags=10, alpha=0.05 )\n",
        "acf.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 281
        },
        "id": "g7QU4yv8qD9x",
        "outputId": "a5087672-1ea4-4cd6-e651-2af208604a17"
      },
      "execution_count": 35,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#pelo gráfico anterior verifica-se que os resíduos são autocorrelacionados"
      ],
      "metadata": {
        "id": "VrYVBfKBqRGC"
      },
      "execution_count": 36,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "#6 - Resíduos e variáveis não correlacionados\n",
        "*Resíduos* correlacionados significa que os resíduos não são componentes totalmente aleatórios."
      ],
      "metadata": {
        "id": "sN9s8B9lqYVv"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "for column in x_treino2.columns:\n",
        "    corr_test = pearsonr( x_treino2[column], results2.resid )\n",
        "    print( 'Variável: ', column, ' coef ', corr_test[0], 'pvalor', corr_test[1]  )"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "zNk6eBW8qX8D",
        "outputId": "55ccebf8-4389-4cf5-9f71-b08488474188"
      },
      "execution_count": 37,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Variável:  MEI  coef  7.616043212754775e-14 pvalor 0.9999999999989356\n",
            "Variável:  CO2  coef  -1.8461360912214175e-14 pvalor 0.9999999999997279\n",
            "Variável:  CFC-11  coef  -6.885843891607513e-14 pvalor 0.9999999999990515\n",
            "Variável:  CFC-12  coef  -4.9511176408723045e-14 pvalor 0.9999999999992929\n",
            "Variável:  TSI  coef  3.202906689869778e-14 pvalor 0.9999999999995256\n",
            "Variável:  Aerosols  coef  5.822523452964079e-14 pvalor 0.9999999999991925\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#Pela ordem de grandeza dos coeficientes, os resíduos não são correlacionados com as variáveis de entrada"
      ],
      "metadata": {
        "id": "qVaZvfrDtnas"
      },
      "execution_count": 42,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "#7 - Normalidade dos resíduos\n",
        "Se os resíduos nao fore norais haverá problemas na determinação dos intervalos de confiança e o nível de significância dos coeficientes"
      ],
      "metadata": {
        "id": "l80oIWDUuwzU"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "plt.hist(results2.resid);"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 267
        },
        "id": "wnVRv1SBu2va",
        "outputId": "8d1d8cca-7e11-4f3f-c720-20023fb11293"
      },
      "execution_count": 39,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from scipy.stats.morestats import shapiro\n",
        "shapiro(results2.resid)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "eVzuwpPIu6k7",
        "outputId": "e4c9b47f-fa8b-4cb1-e4ea-3a82043dcc94"
      },
      "execution_count": 40,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(0.9882131814956665, 0.020576898008584976)"
            ]
          },
          "metadata": {},
          "execution_count": 40
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "print(results2.summary())"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "LJLhNxOSvCOd",
        "outputId": "c87dd300-aac7-4b42-b6e5-eb2dfd23b86a"
      },
      "execution_count": 41,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                            OLS Regression Results                            \n",
            "==============================================================================\n",
            "Dep. Variable:                   Temp   R-squared:                       0.747\n",
            "Model:                            OLS   Adj. R-squared:                  0.742\n",
            "Method:                 Least Squares   F-statistic:                     136.6\n",
            "Date:                Mon, 07 Mar 2022   Prob (F-statistic):           9.15e-80\n",
            "Time:                        00:17:15   Log-Likelihood:                 278.16\n",
            "No. Observations:                 284   AIC:                            -542.3\n",
            "Df Residuals:                     277   BIC:                            -516.8\n",
            "Df Model:                           6                                         \n",
            "Covariance Type:            nonrobust                                         \n",
            "==============================================================================\n",
            "                 coef    std err          t      P>|t|      [0.025      0.975]\n",
            "------------------------------------------------------------------------------\n",
            "const       -122.2527     19.913     -6.139      0.000    -161.453     -83.052\n",
            "MEI            0.0642      0.006      9.932      0.000       0.051       0.077\n",
            "CO2            0.0041      0.002      2.106      0.036       0.000       0.008\n",
            "CFC-11        -0.0043      0.001     -3.891      0.000      -0.006      -0.002\n",
            "CFC-12         0.0024      0.001      3.778      0.000       0.001       0.004\n",
            "TSI            0.0885      0.015      6.060      0.000       0.060       0.117\n",
            "Aerosols      -1.5665      0.213     -7.347      0.000      -1.986      -1.147\n",
            "==============================================================================\n",
            "Omnibus:                       10.683   Durbin-Watson:                   0.927\n",
            "Prob(Omnibus):                  0.005   Jarque-Bera (JB):               13.851\n",
            "Skew:                           0.308   Prob(JB):                     0.000982\n",
            "Kurtosis:                       3.889   Cond. No.                     5.54e+06\n",
            "==============================================================================\n",
            "\n",
            "Warnings:\n",
            "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n",
            "[2] The condition number is large, 5.54e+06. This might indicate that there are\n",
            "strong multicollinearity or other numerical problems.\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#pelso resultados anteriores, verifica-se que os resíduos não são normais"
      ],
      "metadata": {
        "id": "9J9-e2_NvTZH"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "#Conclusão"
      ],
      "metadata": {
        "id": "XfVak8a1vv29"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "Pelos análises realizados verifica-se, que o modelo pode explicar a variação das variáveis em 72%.\n",
        "Os resultados de MAPE e MSE das variáveis do dataset df_treino2 e df_teste2 são próximos\n",
        "Em todas as premissas do modelo (results2) se tornaram favorábeis, exceto para a normalidade dos resíduos, os quais não são normais.\n",
        "Desta maneira, conclui-se que o modelo é viável, podendo descartar a reprovação na premissa 7.\n",
        "A inserção de outras variáveis do modelo poderia corrigir este fato, e ainda, aumantar o coefciente de determinação"
      ],
      "metadata": {
        "id": "D66PewHGxbay"
      }
    }
  ]
}