diff --git "a/Regress\303\243o_N\303\243o_Linear_M\303\272ltipla.ipynb" "b/Regress\303\243o_N\303\243o_Linear_M\303\272ltipla.ipynb" index 5947124..f36c8f7 100644 --- "a/Regress\303\243o_N\303\243o_Linear_M\303\272ltipla.ipynb" +++ "b/Regress\303\243o_N\303\243o_Linear_M\303\272ltipla.ipynb" @@ -6,19 +6,29 @@ "name": "Regressão Não Linear Múltipla.ipynb", "provenance": [], "collapsed_sections": [ + "AlY_m5rYglXU", "bO3OMHQdgovW", "WZBmyDLrgq94", + "xbePLl5U0Gep", + "iy1w4sJ3hU8e", "IZ0KQLNGnFvj", "jbCxFx69g5P4", "_zzWljZ9g-We", + "aQNUQYephcPz", "LjPaKFoqhfVL", + "TDs1FoWqhtPI", + "sDG1z2uIPujF", + "FRC8sVhTiL_V", "7JPuPNX2ijta", "wOuDIKQminPT", + "4H8x_ivli5pB", + "uGstXl2IjK6X", "PKQR5FWtt6UC", "W6-i2PZPuI2-", "fgmD7P7CudRp", "3R8FdHKPunBX", "JqMyDMQkjXsB", + "IyGRbENRQ_sU", "matdxzBpDf2L", "7O5JjHDiDn5Q", "jyXkSn0TDtm6", @@ -26,16 +36,21 @@ "v58yoz3nFg_S", "7Tiu8FanDKNK", "CH4RMN4ZDHze", + "2WvkOu2HDWBO", + "cSeYS8I4kFtD", + "1EOnZG3dkPch", "UMjRd1cbkVfb", "baYYNHT0kX88", "Aq65z7JPki30", "aH68-nZFkhMv", "WFku4Qp0k3-0", + "u3xPXJK_0yRU", "66PofBnllBwC", "E7255jaYlJt8", - "aWIMQym5lQPJ", "uKUGrr-xlWbN", - "KqsfJJdbljMN" + "KqsfJJdbljMN", + "uJpdkVoyrq_u", + "Fx8hjfMGvJr9" ] }, "kernelspec": { @@ -123,7 +138,7 @@ "id": "WZBmyDLrgq94" }, "source": [ - "##Importar Base de Dados" + "##Resumo da Base de Dados" ] }, { @@ -161,20 +176,29 @@ "\n" ] }, + { + "cell_type": "markdown", + "metadata": { + "id": "xbePLl5U0Gep" + }, + "source": [ + "###Importar Base de Dados" + ] + }, { "cell_type": "code", "metadata": { "colab": { "base_uri": "https://localhost:8080/", - "height": 0 + "height": 17 }, "id": "gVJC_jjr99HT", - "outputId": "748e9f24-c863-45f4-9df9-1e70cd204983" + "outputId": "0868d6bd-df50-41e6-9931-134f82802da2" }, "source": [ "planoSaude=pd.read_csv('/content/drive/MyDrive/Dataset_Excel_CSV/planoSaude.csv')" ], - "execution_count": 512, + "execution_count": 584, "outputs": [ { "output_type": "display_data", @@ -208,15 +232,15 @@ "metadata": { "colab": { "base_uri": "https://localhost:8080/", - "height": 0 + "height": 203 }, "id": "5a86WBF5_jZ4", - "outputId": "9cd79693-18ec-4de0-e1a6-94795328c43a" + "outputId": "2fde654e-2617-472d-8c5d-e92424c4009d" }, "source": [ "planoSaude.head()" ], - "execution_count": 513, + "execution_count": 585, "outputs": [ { "output_type": "execute_result", @@ -310,7 +334,7 @@ "metadata": { "tags": [] }, - "execution_count": 513 + "execution_count": 585 } ] }, @@ -672,7 +696,7 @@ "id": "aQNUQYephcPz" }, "source": [ - "##Preparação para o modelo" + "##Preparação para o Modelo Linear Múltiplo" ] }, { @@ -2780,7 +2804,7 @@ "id": "aH68-nZFkhMv" }, "source": [ - "###Estimando um novo modelo múltiplo com dummies" + "##Estimando Novo Modelo Múltiplo Não Linear" ] }, { @@ -3204,6 +3228,15 @@ "Concluímos então que não usaremos essas variáveis nesse novo modelo. Vamos criar esse novo modelo abaixo." ] }, + { + "cell_type": "markdown", + "metadata": { + "id": "u3xPXJK_0yRU" + }, + "source": [ + "##Finalizando Modelo Múltiplo Não Linear com Stepwise" + ] + }, { "cell_type": "code", "metadata": {