<\/p>\n
\u062a\u0648\u0641\u0631 \u0648\u062d\u062f\u0629 statsmodels<\/a> \u0641\u064a Python \u0645\u062c\u0645\u0648\u0639\u0629 \u0645\u062a\u0646\u0648\u0639\u0629 \u0645\u0646 \u0627\u0644\u0648\u0638\u0627\u0626\u0641 \u0648\u0627\u0644\u0641\u0626\u0627\u062a \u0627\u0644\u062a\u064a \u062a\u0633\u0645\u062d \u0644\u0643 \u0628\u062a\u0643\u064a\u064a\u0641 \u0627\u0644\u0646\u0645\u0627\u0630\u062c \u0627\u0644\u0625\u062d\u0635\u0627\u0626\u064a\u0629 \u0627\u0644\u0645\u062e\u062a\u0644\u0641\u0629.<\/span><\/span><\/p>\n \u064a\u0648\u0636\u062d \u0627\u0644\u0645\u062b\u0627\u0644 \u0627\u0644\u062a\u0627\u0644\u064a \u062e\u0637\u0648\u0629 \u0628\u062e\u0637\u0648\u0629 \u0643\u064a\u0641\u064a\u0629 \u0625\u062c\u0631\u0627\u0621 \u0627\u0644\u0627\u0646\u062d\u062f\u0627\u0631 \u0627\u0644\u0644\u0648\u062c\u0633\u062a\u064a<\/a> \u0628\u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0648\u0638\u0627\u0626\u0641 statsmodels.<\/span><\/p>\n \u0623\u0648\u0644\u0627\u064b\u060c \u0644\u0646\u0642\u0645 \u0628\u0625\u0646\u0634\u0627\u0621 \u0625\u0637\u0627\u0631 \u0628\u064a\u0627\u0646\u0627\u062a \u0627\u0644\u0628\u0627\u0646\u062f\u0627 \u0627\u0644\u0630\u064a \u064a\u062d\u062a\u0648\u064a \u0639\u0644\u0649 \u062b\u0644\u0627\u062b\u0629 \u0645\u062a\u063a\u064a\u0631\u0627\u062a:<\/span><\/p>\n \u0633\u0646\u0642\u0648\u0645 \u0628\u062a\u0631\u0643\u064a\u0628 \u0646\u0645\u0648\u0630\u062c \u0627\u0644\u0627\u0646\u062d\u062f\u0627\u0631 \u0627\u0644\u0644\u0648\u062c\u0633\u062a\u064a \u0628\u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0633\u0627\u0639\u0627\u062a \u0627\u0644\u062f\u0631\u0627\u0633\u0629 \u0648\u0637\u0631\u064a\u0642\u0629 \u0627\u0644\u062f\u0631\u0627\u0633\u0629 \u0644\u0644\u062a\u0646\u0628\u0624 \u0628\u0645\u0627 \u0625\u0630\u0627 \u0643\u0627\u0646 \u0627\u0644\u0637\u0627\u0644\u0628 \u0642\u062f \u0646\u062c\u062d \u0641\u064a \u0627\u062e\u062a\u0628\u0627\u0631 \u0645\u0639\u064a\u0646 \u0623\u0645 \u0644\u0627.<\/span><\/p>\n \u064a\u0648\u0636\u062d \u0627\u0644\u062a\u0639\u0644\u064a\u0645\u0629 \u0627\u0644\u0628\u0631\u0645\u062c\u064a\u0629 \u0627\u0644\u062a\u0627\u0644\u064a\u0629 \u0643\u064a\u0641\u064a\u0629 \u0625\u0646\u0634\u0627\u0621 DataFrame \u0627\u0644\u0628\u0627\u0646\u062f\u0627:<\/span><\/p>\n \u0628\u0639\u062f \u0630\u0644\u0643\u060c \u0633\u0646\u0644\u0627\u0626\u0645 \u0646\u0645\u0648\u0630\u062c \u0627\u0644\u0627\u0646\u062d\u062f\u0627\u0631 \u0627\u0644\u0644\u0648\u062c\u0633\u062a\u064a \u0628\u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0627\u0644\u062f\u0627\u0644\u0629 logit()<\/strong> :<\/span><\/p>\n \u062a\u062e\u0628\u0631\u0646\u0627 \u0627\u0644\u0642\u064a\u0645 \u0627\u0644\u0645\u0648\u062c\u0648\u062f\u0629 \u0641\u064a \u0639\u0645\u0648\u062f coef<\/strong> \u0627\u0644\u062e\u0627\u0635 \u0628\u0627\u0644\u0645\u062e\u0631\u062c\u0627\u062a \u0628\u0645\u062a\u0648\u0633\u0637 \u0627\u0644\u062a\u063a\u064a\u0631 \u0641\u064a \u0633\u062c\u0644 \u0627\u062d\u062a\u0645\u0627\u0644\u0627\u062a \u0627\u062c\u062a\u064a\u0627\u0632 \u0627\u0644\u0627\u062e\u062a\u0628\u0627\u0631.<\/span><\/p>\n \u0639\u0644\u0649 \u0633\u0628\u064a\u0644 \u0627\u0644\u0645\u062b\u0627\u0644:<\/span><\/span><\/p>\n \u0627\u0644\u0642\u064a\u0645 \u0641\u064a P>|z|<\/strong> \u064a\u0645\u062b\u0644 \u0627\u0644\u0639\u0645\u0648\u062f \u0627\u0644\u0642\u064a\u0645 \u0627\u0644\u0627\u062d\u062a\u0645\u0627\u0644\u064a\u0629 \u0644\u0643\u0644 \u0645\u0639\u0627\u0645\u0644.<\/span><\/p>\n \u0639\u0644\u0649 \u0633\u0628\u064a\u0644 \u0627\u0644\u0645\u062b\u0627\u0644:<\/span><\/p>\n \u0644\u062a\u0642\u064a\u064a\u0645 \u062c\u0648\u062f\u0629 \u0646\u0645\u0648\u0630\u062c \u0627\u0644\u0627\u0646\u062d\u062f\u0627\u0631 \u0627\u0644\u0644\u0648\u062c\u0633\u062a\u064a\u060c \u064a\u0645\u0643\u0646\u0646\u0627 \u0627\u0644\u0646\u0638\u0631 \u0625\u0644\u0649 \u0645\u0642\u064a\u0627\u0633\u064a\u0646 \u0641\u064a \u0627\u0644\u0645\u062e\u0631\u062c\u0627\u062a:<\/span><\/p>\n 1. \u0627\u0644\u0644\u0642\u0628 R-\u0645\u0631\u0628\u0639<\/strong><\/span><\/p>\n \u064a\u0645\u0643\u0646 \u0627\u0639\u062a\u0628\u0627\u0631 \u0647\u0630\u0647 \u0627\u0644\u0642\u064a\u0645\u0629 \u0628\u062f\u064a\u0644\u0627\u064b \u0644\u0642\u064a\u0645\u0629 R-squared \u0644\u0646\u0645\u0648\u0630\u062c \u0627\u0644\u0627\u0646\u062d\u062f\u0627\u0631 \u0627\u0644\u062e\u0637\u064a.<\/span><\/p>\n \u064a\u062a\u0645 \u062d\u0633\u0627\u0628\u0647 \u0639\u0644\u0649 \u0623\u0646\u0647 \u0646\u0633\u0628\u0629 \u062f\u0627\u0644\u0629 \u0627\u062d\u062a\u0645\u0627\u0644\u064a\u0629 \u0627\u0644\u0633\u062c\u0644 \u0627\u0644\u0642\u0635\u0648\u0649 \u0645\u0646 \u0627\u0644\u0646\u0645\u0648\u0630\u062c \u0627\u0644\u0641\u0627\u0631\u063a \u0625\u0644\u0649 \u0627\u0644\u0646\u0645\u0648\u0630\u062c \u0627\u0644\u0643\u0627\u0645\u0644.<\/span><\/p>\n \u064a\u0645\u0643\u0646 \u0623\u0646 \u062a\u062a\u0631\u0627\u0648\u062d \u0647\u0630\u0647 \u0627\u0644\u0642\u064a\u0645\u0629 \u0645\u0646 0 \u0625\u0644\u0649 1\u060c \u0648\u062a\u0634\u064a\u0631 \u0627\u0644\u0642\u064a\u0645 \u0627\u0644\u0623\u0639\u0644\u0649 \u0625\u0644\u0649 \u0645\u0644\u0627\u0621\u0645\u0629 \u0623\u0641\u0636\u0644 \u0644\u0644\u0646\u0645\u0648\u0630\u062c.<\/span><\/p>\n \u0641\u064a \u0647\u0630\u0627 \u0627\u0644\u0645\u062b\u0627\u0644\u060c \u0642\u064a\u0645\u0629 R-squared \u0627\u0644\u0632\u0627\u0626\u0641\u0629 \u0647\u064a 0.1894<\/strong> \u060c \u0648\u0647\u064a \u0645\u0646\u062e\u0641\u0636\u0629 \u062c\u062f\u064b\u0627. \u064a\u062e\u0628\u0631\u0646\u0627 \u0647\u0630\u0627 \u0623\u0646 \u0627\u0644\u0645\u062a\u063a\u064a\u0631\u0627\u062a \u0627\u0644\u0645\u062a\u0648\u0642\u0639\u0629 \u0644\u0644\u0646\u0645\u0648\u0630\u062c \u0644\u0627 \u062a\u0642\u0648\u0645 \u0628\u0639\u0645\u0644 \u062c\u064a\u062f \u062c\u062f\u064b\u0627 \u0641\u064a \u0627\u0644\u062a\u0646\u0628\u0624 \u0628\u0642\u064a\u0645\u0629 \u0645\u062a\u063a\u064a\u0631 \u0627\u0644\u0627\u0633\u062a\u062c\u0627\u0628\u0629.<\/span><\/p>\n 2. LLR \u0627\u0644\u0642\u064a\u0645\u0629 p<\/strong><\/span><\/p>\n \u064a\u0645\u0643\u0646 \u0627\u0639\u062a\u0628\u0627\u0631 \u0647\u0630\u0647 \u0627\u0644\u0642\u064a\u0645\u0629 \u0628\u062f\u064a\u0644\u0627\u064b \u0644\u0644\u0642\u064a\u0645\u0629 p \u0644\u0644\u0642\u064a\u0645\u0629 F \u0627\u0644\u0625\u062c\u0645\u0627\u0644\u064a\u0629<\/a> \u0644\u0646\u0645\u0648\u0630\u062c \u0627\u0644\u0627\u0646\u062d\u062f\u0627\u0631 \u0627\u0644\u062e\u0637\u064a.<\/span><\/p>\n \u0625\u0630\u0627 \u0643\u0627\u0646\u062a \u0647\u0630\u0647 \u0627\u0644\u0642\u064a\u0645\u0629 \u0623\u0642\u0644 \u0645\u0646 \u0639\u062a\u0628\u0629 \u0645\u0639\u064a\u0646\u0629 (\u0639\u0644\u0649 \u0633\u0628\u064a\u0644 \u0627\u0644\u0645\u062b\u0627\u0644 \u03b1 = 0.05)\u060c \u0641\u064a\u0645\u0643\u0646\u0646\u0627 \u0628\u0639\u062f \u0630\u0644\u0643 \u0623\u0646 \u0646\u0633\u062a\u0646\u062a\u062c \u0623\u0646 \u0627\u0644\u0646\u0645\u0648\u0630\u062c \u0643\u0643\u0644 “\u0645\u0641\u064a\u062f” \u0648\u064a\u0645\u0643\u0646\u0647 \u0627\u0644\u062a\u0646\u0628\u0624 \u0628\u0634\u0643\u0644 \u0623\u0641\u0636\u0644 \u0628\u0642\u064a\u0645 \u0645\u062a\u063a\u064a\u0631 \u0627\u0644\u0627\u0633\u062a\u062c\u0627\u0628\u0629 \u0645\u0642\u0627\u0631\u0646\u0629 \u0628\u0627\u0644\u0646\u0645\u0648\u0630\u062c \u0627\u0644\u0630\u064a \u0644\u0627 \u064a\u062d\u062a\u0648\u064a \u0639\u0644\u0649 \u0645\u062a\u063a\u064a\u0631\u0627\u062a \u062a\u0646\u0628\u0624\u064a\u0629.<\/span><\/p>\n \u0641\u064a \u0647\u0630\u0627 \u0627\u0644\u0645\u062b\u0627\u0644\u060c \u0627\u0644\u0642\u064a\u0645\u0629 p \u0644\u0640 LLR \u0647\u064a 0.07375<\/strong> . \u0627\u0639\u062a\u0645\u0627\u062f\u064b\u0627 \u0639\u0644\u0649 \u0645\u0633\u062a\u0648\u0649 \u0627\u0644\u0623\u0647\u0645\u064a\u0629 \u0627\u0644\u0630\u064a \u0646\u062e\u062a\u0627\u0631\u0647 (\u0639\u0644\u0649 \u0633\u0628\u064a\u0644 \u0627\u0644\u0645\u062b\u0627\u0644 0.01\u060c 0.05\u060c 0.1)\u060c \u0642\u062f \u0646\u0633\u062a\u0646\u062a\u062c \u0623\u0648 \u0644\u0627 \u0646\u0633\u062a\u0646\u062a\u062c \u0623\u0646 \u0627\u0644\u0646\u0645\u0648\u0630\u062c \u0643\u0643\u0644 \u0645\u0641\u064a\u062f.<\/span><\/p>\n \u062a\u0634\u0631\u062d \u0627\u0644\u0628\u0631\u0627\u0645\u062c \u0627\u0644\u062a\u0639\u0644\u064a\u0645\u064a\u0629 \u0627\u0644\u062a\u0627\u0644\u064a\u0629 \u0643\u064a\u0641\u064a\u0629 \u062a\u0646\u0641\u064a\u0630 \u0627\u0644\u0645\u0647\u0627\u0645 \u0627\u0644\u0634\u0627\u0626\u0639\u0629 \u0627\u0644\u0623\u062e\u0631\u0649 \u0641\u064a \u0628\u0627\u064a\u062b\u0648\u0646:<\/span><\/p>\n \u0643\u064a\u0641\u064a\u0629 \u062a\u0646\u0641\u064a\u0630 \u0627\u0644\u0627\u0646\u062d\u062f\u0627\u0631 \u0627\u0644\u062e\u0637\u064a \u0641\u064a \u0628\u0627\u064a\u062b\u0648\u0646<\/a> \u062a\u0648\u0641\u0631 \u0648\u062d\u062f\u0629 statsmodels \u0641\u064a Python \u0645\u062c\u0645\u0648\u0639\u0629 \u0645\u062a\u0646\u0648\u0639\u0629 \u0645\u0646 \u0627\u0644\u0648\u0638\u0627\u0626\u0641 \u0648\u0627\u0644\u0641\u0626\u0627\u062a \u0627\u0644\u062a\u064a \u062a\u0633\u0645\u062d \u0644\u0643 \u0628\u062a\u0643\u064a\u064a\u0641 \u0627\u0644\u0646\u0645\u0627\u0630\u062c \u0627\u0644\u0625\u062d\u0635\u0627\u0626\u064a\u0629 \u0627\u0644\u0645\u062e\u062a\u0644\u0641\u0629. \u064a\u0648\u0636\u062d \u0627\u0644\u0645\u062b\u0627\u0644 \u0627\u0644\u062a\u0627\u0644\u064a \u062e\u0637\u0648\u0629 \u0628\u062e\u0637\u0648\u0629 \u0643\u064a\u0641\u064a\u0629 \u0625\u062c\u0631\u0627\u0621 \u0627\u0644\u0627\u0646\u062d\u062f\u0627\u0631 \u0627\u0644\u0644\u0648\u062c\u0633\u062a\u064a \u0628\u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0648\u0638\u0627\u0626\u0641 statsmodels. \u0627\u0644\u062e\u0637\u0648\u0629 1: \u0625\u0646\u0634\u0627\u0621 \u0627\u0644\u0628\u064a\u0627\u0646\u0627\u062a \u0623\u0648\u0644\u0627\u064b\u060c \u0644\u0646\u0642\u0645 \u0628\u0625\u0646\u0634\u0627\u0621 \u0625\u0637\u0627\u0631 \u0628\u064a\u0627\u0646\u0627\u062a \u0627\u0644\u0628\u0627\u0646\u062f\u0627 \u0627\u0644\u0630\u064a \u064a\u062d\u062a\u0648\u064a \u0639\u0644\u0649 \u062b\u0644\u0627\u062b\u0629 \u0645\u062a\u063a\u064a\u0631\u0627\u062a: \u0627\u0644\u0633\u0627\u0639\u0627\u062a \u0627\u0644\u0645\u062f\u0631\u0648\u0633\u0629 (\u0627\u0644\u0642\u064a\u0645\u0629 \u0627\u0644\u0643\u0627\u0645\u0644\u0629) \u0637\u0631\u064a\u0642\u0629 \u0627\u0644\u062f\u0631\u0627\u0633\u0629 (\u0627\u0644\u0637\u0631\u064a\u0642\u0629 \u0623 \u0623\u0648 \u0628) \u0646\u062a\u064a\u062c\u0629 […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[11],"tags":[],"yoast_head":"\n \u0627\u0644\u062e\u0637\u0648\u0629 1: \u0625\u0646\u0634\u0627\u0621 \u0627\u0644\u0628\u064a\u0627\u0646\u0627\u062a<\/strong><\/span><\/h2>\n
\n
import<\/span> pandas as<\/span> pd\n\n#createDataFrame\n<\/span>df = pd. DataFrame<\/span> ({' result<\/span> ': [0, 1, 0, 0, 0, 0, 0, 1, 1, 0,\n 0, 1, 1, 1, 0, 1, 1, 1, 1, 1],\n ' hours<\/span> ': [1, 2, 2, 2, 3, 2, 5, 4, 3, 6,\n 5, 8, 8, 7, 6, 7, 5, 4, 8, 9],\n ' method<\/span> ': ['A', 'A', 'A', 'B', 'B', 'B', 'B',\n 'B', 'B', 'A', 'B', 'A', 'B', 'B',\n 'A', 'A', 'B', 'A', 'B', 'A']})\n\n#view first five rows of DataFrame\n<\/span>df. head<\/span> ()\n\n\tresult hours method\n0 0 1 A\n1 1 2 A\n2 0 2 A\n3 0 2 B\n4 0 3 B<\/strong><\/pre>\n \u0627\u0644\u062e\u0637\u0648\u0629 2: \u0645\u0644\u0627\u0621\u0645\u0629 \u0646\u0645\u0648\u0630\u062c \u0627\u0644\u0627\u0646\u062d\u062f\u0627\u0631 \u0627\u0644\u0644\u0648\u062c\u0633\u062a\u064a<\/strong><\/span><\/h2>\n
import<\/span> statsmodels. formula<\/span> . api<\/span> as<\/span> smf\n\n#fit logistic regression model\n<\/span>model = smf. logit<\/span> (' result~hours+method<\/span> ', data=df). fit<\/span> ()\n\n#view model summary\n<\/span>print<\/span> ( model.summary<\/span> ())\n\nOptimization completed successfully.\n Current function value: 0.557786\n Iterations 5\n Logit Regression Results \n==================================================== ============================\nDept. Variable: result No. Observations: 20\nModel: Logit Df Residuals: 17\nMethod: MLE Df Model: 2\nDate: Mon, 22 Aug 2022 Pseudo R-squ.: 0.1894\nTime: 09:53:35 Log-Likelihood: -11.156\nconverged: True LL-Null: -13.763\nCovariance Type: nonrobust LLR p-value: 0.07375\n==================================================== ============================\n coef std err z P>|z| [0.025 0.975]\n-------------------------------------------------- -----------------------------\nIntercept -2.1569 1.416 -1.523 0.128 -4.932 0.618\nmethod[TB] 0.0875 1.051 0.083 0.934 -1.973 2.148\nhours 0.4909 0.245 2.002 0.045 0.010 0.972\n==================================================== ============================\n<\/strong><\/span><\/pre>\n\n
\n
\u0627\u0644\u062e\u0637\u0648\u0629 3: \u062a\u0642\u064a\u064a\u0645 \u0623\u062f\u0627\u0621 \u0627\u0644\u0646\u0645\u0648\u0630\u062c<\/strong><\/span><\/h2>\n
\u0645\u0635\u0627\u062f\u0631 \u0625\u0636\u0627\u0641\u064a\u0629<\/strong><\/span><\/h2>\n
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