{"id":880,"date":"2023-07-28T10:48:49","date_gmt":"2023-07-28T10:48:49","guid":{"rendered":"https:\/\/statorials.org\/ar\/%d8%a7%d9%84%d8%a7%d9%86%d8%ad%d8%af%d8%a7%d8%b1-%d8%a7%d9%84%d8%ae%d8%b7%d9%8a-%d8%a8%d9%8a%d8%ab%d9%88%d9%86\/"},"modified":"2023-07-28T10:48:49","modified_gmt":"2023-07-28T10:48:49","slug":"%d8%a7%d9%84%d8%a7%d9%86%d8%ad%d8%af%d8%a7%d8%b1-%d8%a7%d9%84%d8%ae%d8%b7%d9%8a-%d8%a8%d9%8a%d8%ab%d9%88%d9%86","status":"publish","type":"post","link":"https:\/\/statorials.org\/ar\/%d8%a7%d9%84%d8%a7%d9%86%d8%ad%d8%af%d8%a7%d8%b1-%d8%a7%d9%84%d8%ae%d8%b7%d9%8a-%d8%a8%d9%8a%d8%ab%d9%88%d9%86\/","title":{"rendered":"\u062f\u0644\u064a\u0644 \u0643\u0627\u0645\u0644 \u0644\u0644\u0627\u0646\u062d\u062f\u0627\u0631 \u0627\u0644\u062e\u0637\u064a \u0641\u064a \u0628\u0627\u064a\u062b\u0648\u0646"},"content":{"rendered":"

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\n

\u0627\u0644\u0627\u0646\u062d\u062f\u0627\u0631 \u0627\u0644\u062e\u0637\u064a<\/strong> \u0647\u0648 \u0637\u0631\u064a\u0642\u0629 \u064a\u0645\u0643\u0646\u0646\u0627 \u0627\u0633\u062a\u062e\u062f\u0627\u0645\u0647\u0627 \u0644\u0641\u0647\u0645 \u0627\u0644\u0639\u0644\u0627\u0642\u0629 \u0628\u064a\u0646 \u0648\u0627\u062d\u062f \u0623\u0648 \u0623\u0643\u062b\u0631 \u0645\u0646 \u0645\u062a\u063a\u064a\u0631\u0627\u062a \u0627\u0644\u062a\u0648\u0642\u0639 \u0648\u0645\u062a\u063a\u064a\u0631 \u0627\u0644\u0627\u0633\u062a\u062c\u0627\u0628\u0629.<\/span><\/p>\n

\u064a\u0634\u0631\u062d \u0647\u0630\u0627 \u0627\u0644\u0628\u0631\u0646\u0627\u0645\u062c \u0627\u0644\u062a\u0639\u0644\u064a\u0645\u064a \u0643\u064a\u0641\u064a\u0629 \u0625\u062c\u0631\u0627\u0621 \u0627\u0644\u0627\u0646\u062d\u062f\u0627\u0631 \u0627\u0644\u062e\u0637\u064a \u0641\u064a \u0628\u0627\u064a\u062b\u0648\u0646.<\/span><\/p>\n

\u0645\u062b\u0627\u0644: \u0627\u0644\u0627\u0646\u062d\u062f\u0627\u0631 \u0627\u0644\u062e\u0637\u064a \u0641\u064a \u0628\u0627\u064a\u062b\u0648\u0646<\/strong><\/span><\/h3>\n

\u0644\u0646\u0641\u062a\u0631\u0636 \u0623\u0646\u0646\u0627 \u0646\u0631\u064a\u062f \u0645\u0639\u0631\u0641\u0629 \u0645\u0627 \u0625\u0630\u0627 \u0643\u0627\u0646 \u0639\u062f\u062f \u0627\u0644\u0633\u0627\u0639\u0627\u062a \u0627\u0644\u062a\u064a \u064a\u0642\u0636\u064a\u0647\u0627 \u0641\u064a \u0627\u0644\u062f\u0631\u0627\u0633\u0629 \u0648\u0639\u062f\u062f \u0627\u0644\u0627\u062e\u062a\u0628\u0627\u0631\u0627\u062a \u0627\u0644\u062a\u062f\u0631\u064a\u0628\u064a\u0629 \u0627\u0644\u062a\u064a \u062a\u0645 \u0625\u062c\u0631\u0627\u0624\u0647\u0627 \u064a\u0624\u062b\u0631 \u0639\u0644\u0649 \u0627\u0644\u062f\u0631\u062c\u0629 \u0627\u0644\u062a\u064a \u064a\u062d\u0635\u0644 \u0639\u0644\u064a\u0647\u0627 \u0627\u0644\u0637\u0627\u0644\u0628 \u0641\u064a \u0627\u062e\u062a\u0628\u0627\u0631 \u0645\u0639\u064a\u0646.<\/span><\/p>\n

\u0644\u0627\u0633\u062a\u0643\u0634\u0627\u0641 \u0647\u0630\u0647 \u0627\u0644\u0639\u0644\u0627\u0642\u0629\u060c \u064a\u0645\u0643\u0646\u0646\u0627 \u062a\u0646\u0641\u064a\u0630 \u0627\u0644\u062e\u0637\u0648\u0627\u062a \u0627\u0644\u062a\u0627\u0644\u064a\u0629 \u0641\u064a \u0628\u0627\u064a\u062b\u0648\u0646 \u0644\u0625\u062c\u0631\u0627\u0621 \u0627\u0644\u0627\u0646\u062d\u062f\u0627\u0631 \u0627\u0644\u062e\u0637\u064a \u0627\u0644\u0645\u062a\u0639\u062f\u062f.<\/span><\/p>\n

\u0627\u0644\u062e\u0637\u0648\u0629 1: \u0623\u062f\u062e\u0644 \u0627\u0644\u0628\u064a\u0627\u0646\u0627\u062a.<\/strong><\/span><\/p>\n

\u0623\u0648\u0644\u0627\u064b\u060c \u0633\u0646\u0642\u0648\u0645 \u0628\u0625\u0646\u0634\u0627\u0621 DataFrame \u0627\u0644\u0628\u0627\u0646\u062f\u0627 \u0644\u0644\u0627\u062d\u062a\u0641\u0627\u0638 \u0628\u0645\u062c\u0645\u0648\u0639\u0629 \u0627\u0644\u0628\u064a\u0627\u0646\u0627\u062a \u0627\u0644\u062e\u0627\u0635\u0629 \u0628\u0646\u0627:<\/span><\/p>\n

 import<\/span> pandas as<\/span> pd\n\n#create data<\/span>\ndf = pd.DataFrame({'hours': [1, 2, 2, 4, 2, 1, 5, 4, 2, 4, 4, 3, 6, 5, 3, 4, 6, 2, 1, 2],\n                   'exams': [1, 3, 3, 5, 2, 2, 1, 1, 0, 3, 4, 3, 2, 4, 4, 4, 5, 1, 0, 1],\n                   'score': [76, 78, 85, 88, 72, 69, 94, 94, 88, 92, 90, 75, 96, 90, 82, 85, 99, 83, 62, 76]})\n\n#view data<\/span> \ndf\n\n        hours exam score\n0 1 1 76\n1 2 3 78\n2 2 3 85\n3 4 5 88\n4 2 2 72\n5 1 2 69\n6 5 1 94\n7 4 1 94\n8 2 0 88\n9 4 3 92\n10 4 4 90\n11 3 3 75\n12 6 2 96\n13 5 4 90\n14 3 4 82\n15 4 4 85\n16 6 5 99\n17 2 1 83\n18 1 0 62\n19 2 1 76\n<\/strong><\/pre>\n
 \u0627\u0644\u062e\u0637\u0648\u0629 2: \u062a\u0646\u0641\u064a\u0630 \u0627\u0644\u0627\u0646\u062d\u062f\u0627\u0631 \u0627\u0644\u062e\u0637\u064a.<\/strong><\/span><\/p>\n
 \u0628\u0639\u062f \u0630\u0644\u0643\u060c \u0633\u0648\u0641 \u0646\u0633\u062a\u062e\u062f\u0645 \u0627\u0644\u062f\u0627\u0644\u0629 OLS()<\/a> \u0645\u0646 \u0645\u0643\u062a\u0628\u0629 statsmodels \u0644\u0625\u062c\u0631\u0627\u0621 \u0627\u0646\u062d\u062f\u0627\u0631 \u0639\u0627\u062f\u064a \u0628\u0627\u0644\u0645\u0631\u0628\u0639\u0627\u062a \u0627\u0644\u0635\u063a\u0631\u0649\u060c \u0628\u0627\u0633\u062a\u062e\u062f\u0627\u0645 “\u0627\u0644\u0633\u0627\u0639\u0627\u062a” \u0648”\u0627\u0644\u0627\u0645\u062a\u062d\u0627\u0646\u0627\u062a” \u0643\u0645\u062a\u063a\u064a\u0631\u0627\u062a \u0645\u062a\u0648\u0642\u0639\u0629 \u0648”\u0627\u0644\u0646\u062a\u064a\u062c\u0629” \u0643\u0645\u062a\u063a\u064a\u0631 \u0627\u0644\u0627\u0633\u062a\u062c\u0627\u0628\u0629:<\/span><\/p>\n
 import<\/span> statsmodels.api as<\/span> sm\n\n#define response variable\n<\/span>y = df['score']\n\n#define predictor variables\n<\/span>x = df[['hours', 'exams']]\n\n#add constant to predictor variables\n<\/span>x = sm.add_constant(x)\n\n#fit linear regression model\n<\/span>model = sm.OLS(y, x).fit()\n\n#view model summary\n<\/span>print(model.summary())\n\n                            OLS Regression Results                            \n==================================================== ============================\nDept. Variable: R-squared score: 0.734\nModel: OLS Adj. R-squared: 0.703\nMethod: Least Squares F-statistic: 23.46\nDate: Fri, 24 Jul 2020 Prob (F-statistic): 1.29e-05\nTime: 13:20:31 Log-Likelihood: -60.354\nNo. Observations: 20 AIC: 126.7\nDf Residuals: 17 BIC: 129.7\nDf Model: 2                                         \nCovariance Type: non-robust                                         \n==================================================== ============================\n                 coef std err t P>|t| [0.025 0.975]\n-------------------------------------------------- ----------------------------\nconst 67.6735 2.816 24.033 0.000 61.733 73.614\nhours 5.5557 0.899 6.179 0.000 3.659 7.453\nexams -0.6017 0.914 -0.658 0.519 -2.531 1.327\n==================================================== ============================\nOmnibus: 0.341 Durbin-Watson: 1.506\nProb(Omnibus): 0.843 Jarque-Bera (JB): 0.196\nSkew: -0.216 Prob(JB): 0.907\nKurtosis: 2,782 Cond. No. 10.8\n==================================================== ============================\n<\/strong><\/pre>\n
 \u0627\u0644\u062e\u0637\u0648\u0629 3: \u062a\u0641\u0633\u064a\u0631 \u0627\u0644\u0646\u062a\u0627\u0626\u062c.<\/strong><\/span><\/p>\n
 \u0641\u064a\u0645\u0627 \u064a\u0644\u064a \u0643\u064a\u0641\u064a\u0629 \u062a\u0641\u0633\u064a\u0631 \u0627\u0644\u0623\u0631\u0642\u0627\u0645 \u0627\u0644\u0623\u0643\u062b\u0631 \u0635\u0644\u0629 \u0628\u0627\u0644\u0646\u062a\u064a\u062c\u0629:<\/span><\/p>\n
 \u0635 \u062a\u0631\u0628\u064a\u0639 :<\/strong> 0.734<\/strong> . \u0648\u0647\u0630\u0627 \u0645\u0627 \u064a\u0633\u0645\u0649 \u0645\u0639\u0627\u0645\u0644 \u0627\u0644\u062a\u062d\u062f\u064a\u062f. \u0647\u0630\u0647 \u0647\u064a \u0646\u0633\u0628\u0629 \u0627\u0644\u062a\u0628\u0627\u064a\u0646 \u0641\u064a \u0645\u062a\u063a\u064a\u0631 \u0627\u0644\u0627\u0633\u062a\u062c\u0627\u0628\u0629 \u0627\u0644\u062a\u064a \u064a\u0645\u0643\u0646 \u062a\u0641\u0633\u064a\u0631\u0647\u0627 \u0628\u0648\u0627\u0633\u0637\u0629 \u0627\u0644\u0645\u062a\u063a\u064a\u0631\u0627\u062a \u0627\u0644\u0645\u062a\u0648\u0642\u0639\u0629. \u0641\u064a \u0647\u0630\u0627 \u0627\u0644\u0645\u062b\u0627\u0644\u060c \u064a\u062a\u0645 \u062a\u0641\u0633\u064a\u0631 73.4% \u0645\u0646 \u0627\u0644\u062a\u0628\u0627\u064a\u0646 \u0641\u064a \u062f\u0631\u062c\u0627\u062a \u0627\u0644\u0627\u0645\u062a\u062d\u0627\u0646 \u0628\u0639\u062f\u062f \u0633\u0627\u0639\u0627\u062a \u0627\u0644\u062f\u0631\u0627\u0633\u0629 \u0648\u0639\u062f\u062f \u0627\u0644\u0627\u062e\u062a\u0628\u0627\u0631\u0627\u062a \u0627\u0644\u0625\u0639\u062f\u0627\u062f\u064a\u0629 \u0627\u0644\u062a\u064a \u062a\u0645 \u0625\u062c\u0631\u0627\u0624\u0647\u0627.<\/span><\/p>\n
 \u0625\u062d\u0635\u0627\u0626\u064a\u0629 F : 23.46<\/strong> . \u0647\u0630\u0647 \u0647\u064a \u0625\u062d\u0635\u0627\u0626\u064a\u0629 F \u0627\u0644\u0625\u062c\u0645\u0627\u0644\u064a\u0629 \u0644\u0646\u0645\u0648\u0630\u062c \u0627\u0644\u0627\u0646\u062d\u062f\u0627\u0631.<\/span><\/p>\n
 \u0625\u0634\u0643\u0627\u0644\u064a\u0629 (\u0625\u062d\u0635\u0627\u0626\u064a\u0629 F): 1.29e-05.<\/strong> \u0647\u0630\u0647 \u0647\u064a \u0627\u0644\u0642\u064a\u0645\u0629 p \u0627\u0644\u0645\u0631\u062a\u0628\u0637\u0629 \u0628\u0625\u062d\u0635\u0627\u0626\u064a\u0627\u062a F \u0627\u0644\u0625\u062c\u0645\u0627\u0644\u064a\u0629. \u064a\u062e\u0628\u0631\u0646\u0627 \u0647\u0630\u0627 \u0645\u0627 \u0625\u0630\u0627 \u0643\u0627\u0646 \u0646\u0645\u0648\u0630\u062c \u0627\u0644\u0627\u0646\u062d\u062f\u0627\u0631 \u0643\u0643\u0644 \u0630\u0648 \u062f\u0644\u0627\u0644\u0629 \u0625\u062d\u0635\u0627\u0626\u064a\u0629 \u0623\u0645 \u0644\u0627. \u0648\u0628\u0639\u0628\u0627\u0631\u0629 \u0623\u062e\u0631\u0649\u060c \u0641\u0625\u0646\u0647 \u064a\u062e\u0628\u0631\u0646\u0627 \u0645\u0627 \u0625\u0630\u0627 \u0643\u0627\u0646 \u0627\u0644\u0645\u062a\u063a\u064a\u0631\u0627\u0646 \u0627\u0644\u0645\u062a\u0646\u0628\u0626\u0627\u0646 \u0645\u062c\u062a\u0645\u0639\u0627\u0646 \u0644\u0647\u0645\u0627 \u0627\u0631\u062a\u0628\u0627\u0637 \u0630\u0648 \u062f\u0644\u0627\u0644\u0629 \u0625\u062d\u0635\u0627\u0626\u064a\u0629 \u0645\u0639 \u0645\u062a\u063a\u064a\u0631 \u0627\u0644\u0627\u0633\u062a\u062c\u0627\u0628\u0629. \u0641\u064a \u0647\u0630\u0647 \u0627\u0644\u062d\u0627\u0644\u0629\u060c \u062a\u0643\u0648\u0646 \u0627\u0644\u0642\u064a\u0645\u0629 p \u0623\u0642\u0644 \u0645\u0646 0.05\u060c \u0645\u0645\u0627 \u064a\u0634\u064a\u0631 \u0625\u0644\u0649 \u0623\u0646 \u0627\u0644\u0645\u062a\u063a\u064a\u0631\u0627\u062a \u0627\u0644\u0645\u062a\u0648\u0642\u0639\u0629 “\u0633\u0627\u0639\u0627\u062a \u0627\u0644\u062f\u0631\u0627\u0633\u0629” \u0648”\u0627\u0644\u0627\u062e\u062a\u0628\u0627\u0631\u0627\u062a \u0627\u0644\u0625\u0639\u062f\u0627\u062f\u064a\u0629 \u0627\u0644\u062a\u064a \u062a\u0645 \u0625\u062c\u0631\u0627\u0624\u0647\u0627” \u0645\u062c\u062a\u0645\u0639\u0629 \u0644\u0647\u0627 \u0627\u0631\u062a\u0628\u0627\u0637 \u0630\u0648 \u062f\u0644\u0627\u0644\u0629 \u0625\u062d\u0635\u0627\u0626\u064a\u0629 \u0628\u062f\u0631\u062c\u0629 \u0627\u0644\u0627\u0645\u062a\u062d\u0627\u0646.<\/span><\/p>\n
 coef:<\/strong> \u062a\u062e\u0628\u0631\u0646\u0627 \u0645\u0639\u0627\u0645\u0644\u0627\u062a \u0643\u0644 \u0645\u062a\u063a\u064a\u0631 \u0645\u062a\u0646\u0628\u0626 \u0628\u0645\u062a\u0648\u0633\u0637 \u0627\u0644\u062a\u063a\u064a\u0631 \u0627\u0644\u0645\u062a\u0648\u0642\u0639 \u0641\u064a \u0645\u062a\u063a\u064a\u0631 \u0627\u0644\u0627\u0633\u062a\u062c\u0627\u0628\u0629\u060c \u0639\u0644\u0649 \u0627\u0641\u062a\u0631\u0627\u0636 \u0623\u0646 \u0627\u0644\u0645\u062a\u063a\u064a\u0631 \u0627\u0644\u0645\u062a\u0646\u0628\u0626 \u0627\u0644\u0622\u062e\u0631 \u064a\u0638\u0644 \u062b\u0627\u0628\u062a\u064b\u0627. \u0639\u0644\u0649 \u0633\u0628\u064a\u0644 \u0627\u0644\u0645\u062b\u0627\u0644\u060c \u0645\u0642\u0627\u0628\u0644 \u0643\u0644 \u0633\u0627\u0639\u0629 \u0625\u0636\u0627\u0641\u064a\u0629 \u062a\u0642\u0636\u064a\u0647\u0627 \u0641\u064a \u0627\u0644\u062f\u0631\u0627\u0633\u0629\u060c \u0645\u0646 \u0627\u0644\u0645\u062a\u0648\u0642\u0639 \u0623\u0646 \u064a\u0632\u064a\u062f \u0645\u062a\u0648\u0633\u0637 \u062f\u0631\u062c\u0629 \u0627\u0644\u0627\u062e\u062a\u0628\u0627\u0631 \u0628\u0645\u0642\u062f\u0627\u0631 5.56<\/strong> \u060c \u0639\u0644\u0649 \u0627\u0641\u062a\u0631\u0627\u0636 \u0623\u0646 \u0627\u0644\u0627\u062e\u062a\u0628\u0627\u0631\u0627\u062a \u0627\u0644\u062a\u062f\u0631\u064a\u0628\u064a\u0629 \u0627\u0644\u062a\u064a \u062a\u0645 \u0625\u062c\u0631\u0627\u0624\u0647\u0627 \u062a\u0638\u0644 \u062b\u0627\u0628\u062a\u0629.<\/span><\/p>\n
 \u0625\u0644\u064a\u0643 \u0637\u0631\u064a\u0642\u0629 \u0623\u062e\u0631\u0649 \u0644\u0644\u0646\u0638\u0631 \u0625\u0644\u0649 \u0627\u0644\u0623\u0645\u0631: \u0625\u0630\u0627 \u0643\u0627\u0646 \u0627\u0644\u0637\u0627\u0644\u0628 “\u0623” \u0648\u0627\u0644\u0637\u0627\u0644\u0628 “\u0628” \u064a\u0623\u062e\u0630\u0627\u0646 \u0646\u0641\u0633 \u0627\u0644\u0639\u062f\u062f \u0645\u0646 \u0627\u0644\u0627\u062e\u062a\u0628\u0627\u0631\u0627\u062a \u0627\u0644\u0625\u0639\u062f\u0627\u062f\u064a\u0629 \u0648\u0644\u0643\u0646 \u0627\u0644\u0637\u0627\u0644\u0628 “\u0623” \u064a\u062f\u0631\u0633 \u0644\u0645\u062f\u0629 \u0633\u0627\u0639\u0629 \u0623\u0637\u0648\u0644\u060c \u0641\u064a\u062c\u0628 \u0623\u0646 \u064a\u0633\u062c\u0644 \u0627\u0644\u0637\u0627\u0644\u0628 “\u0623” 5.56<\/strong> \u0646\u0642\u0637\u0629 \u0623\u0639\u0644\u0649 \u0645\u0646 \u0627\u0644\u0637\u0627\u0644\u0628 “\u0628”.<\/span><\/p>\n
 \u0646\u0641\u0633\u0631 \u0645\u0639\u0627\u0645\u0644 \u0627\u0644\u0627\u0639\u062a\u0631\u0627\u0636 \u0639\u0644\u0649 \u0623\u0646\u0647 \u064a\u0639\u0646\u064a \u0623\u0646 \u062f\u0631\u062c\u0629 \u0627\u0644\u0627\u0645\u062a\u062d\u0627\u0646 \u0627\u0644\u0645\u062a\u0648\u0642\u0639\u0629 \u0644\u0644\u0637\u0627\u0644\u0628 \u0627\u0644\u0630\u064a \u0644\u0627 \u064a\u062f\u0631\u0633 \u0633\u0627\u0639\u0627\u062a \u0648\u0644\u0627 \u064a\u0642\u062f\u0645 \u0627\u0645\u062a\u062d\u0627\u0646\u0627\u062a \u062a\u062d\u0636\u064a\u0631\u064a\u0629 \u0647\u064a 67.67<\/strong> .<\/span><\/p>\n
 \u0641>|\u0631|.<\/strong> \u062a\u062e\u0628\u0631\u0646\u0627 \u0627\u0644\u0642\u064a\u0645 p \u0627\u0644\u0641\u0631\u062f\u064a\u0629 \u0645\u0627 \u0625\u0630\u0627 \u0643\u0627\u0646 \u0643\u0644 \u0645\u062a\u063a\u064a\u0631 \u0645\u062a\u0646\u0628\u0626 \u0630\u0648 \u062f\u0644\u0627\u0644\u0629 \u0625\u062d\u0635\u0627\u0626\u064a\u0629 \u0623\u0645 \u0644\u0627. \u064a\u0645\u0643\u0646\u0646\u0627 \u0623\u0646 \u0646\u0631\u0649 \u0623\u0646 “\u0627\u0644\u0633\u0627\u0639\u0627\u062a” \u0644\u0647\u0627 \u062f\u0644\u0627\u0644\u0629 \u0625\u062d\u0635\u0627\u0626\u064a\u0629 (\u0639 = 0.00) \u0641\u064a \u062d\u064a\u0646 \u0623\u0646 “\u0627\u0644\u0627\u0645\u062a\u062d\u0627\u0646\u0627\u062a”  <\/strong> (\u0639 = 0.52) \u0644\u064a\u0633\u062a \u0630\u0627\u062a \u062f\u0644\u0627\u0644\u0629 \u0625\u062d\u0635\u0627\u0626\u064a\u0629 \u0639\u0646\u062f \u03b1 = 0.05. \u0648\u0628\u0645\u0627 \u0623\u0646 \u0645\u0635\u0637\u0644\u062d “\u0627\u0644\u0627\u062e\u062a\u0628\u0627\u0631\u0627\u062a” \u0644\u064a\u0633 \u0630\u0627 \u062f\u0644\u0627\u0644\u0629 \u0625\u062d\u0635\u0627\u0626\u064a\u0629\u060c \u0641\u0642\u062f \u064a\u0646\u062a\u0647\u064a \u0628\u0646\u0627 \u0627\u0644\u0623\u0645\u0631 \u0625\u0644\u0649 \u0627\u062a\u062e\u0627\u0630 \u0642\u0631\u0627\u0631 \u0628\u0625\u0632\u0627\u0644\u062a\u0647 \u0645\u0646 \u0627\u0644\u0646\u0645\u0648\u0630\u062c.<\/span><\/p>\n
 \u0645\u0639\u0627\u062f\u0644\u0629 \u0627\u0644\u0627\u0646\u062d\u062f\u0627\u0631 \u0627\u0644\u0645\u0642\u062f\u0631\u0629:<\/strong> \u064a\u0645\u0643\u0646\u0646\u0627 \u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0627\u0644\u0645\u0639\u0627\u0645\u0644\u0627\u062a \u0645\u0646 \u0645\u062e\u0631\u062c\u0627\u062a \u0627\u0644\u0646\u0645\u0648\u0630\u062c \u0644\u0625\u0646\u0634\u0627\u0621 \u0645\u0639\u0627\u062f\u0644\u0629 \u0627\u0644\u0627\u0646\u062d\u062f\u0627\u0631 \u0627\u0644\u0645\u0642\u062f\u0631\u0629 \u0627\u0644\u062a\u0627\u0644\u064a\u0629:<\/span><\/p>\n
 \u062f\u0631\u062c\u0629 \u0627\u0644\u0627\u0645\u062a\u062d\u0627\u0646 = 67.67 + 5.56*(\u0633\u0627\u0639\u0627\u062a) \u2013 0.60*(\u0627\u0644\u0627\u062e\u062a\u0628\u0627\u0631\u0627\u062a \u0627\u0644\u062a\u062d\u0636\u064a\u0631\u064a\u0629)<\/strong><\/span><\/p>\n
 \u064a\u0645\u0643\u0646\u0646\u0627 \u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0645\u0639\u0627\u062f\u0644\u0629 \u0627\u0644\u0627\u0646\u062d\u062f\u0627\u0631 \u0627\u0644\u0645\u0642\u062f\u0631\u0629 \u0647\u0630\u0647 \u0644\u062d\u0633\u0627\u0628 \u062f\u0631\u062c\u0629 \u0627\u0644\u0627\u062e\u062a\u0628\u0627\u0631 \u0627\u0644\u0645\u062a\u0648\u0642\u0639\u0629 \u0644\u0644\u0637\u0627\u0644\u0628\u060c \u0628\u0646\u0627\u0621\u064b \u0639\u0644\u0649 \u0639\u062f\u062f \u0633\u0627\u0639\u0627\u062a \u0627\u0644\u062f\u0631\u0627\u0633\u0629 \u0648\u0639\u062f\u062f \u0627\u0644\u0627\u062e\u062a\u0628\u0627\u0631\u0627\u062a \u0627\u0644\u062a\u062f\u0631\u064a\u0628\u064a\u0629 \u0627\u0644\u062a\u064a \u064a\u0642\u062f\u0645\u0647\u0627. \u0639\u0644\u0649 \u0633\u0628\u064a\u0644 \u0627\u0644\u0645\u062b\u0627\u0644\u060c \u0627\u0644\u0637\u0627\u0644\u0628 \u0627\u0644\u0630\u064a \u064a\u062f\u0631\u0633 \u0644\u0645\u062f\u0629 \u062b\u0644\u0627\u062b \u0633\u0627\u0639\u0627\u062a \u0648\u064a\u062a\u0642\u062f\u0645 \u0644\u0627\u0645\u062a\u062d\u0627\u0646 \u0627\u0644\u0625\u0639\u062f\u0627\u062f\u064a\u0629 \u064a\u062c\u0628 \u0623\u0646 \u064a\u062d\u0635\u0644 \u0639\u0644\u0649 \u062f\u0631\u062c\u0629 83.75<\/strong> :<\/span><\/p>\n
 \u0636\u0639 \u0641\u064a \u0627\u0639\u062a\u0628\u0627\u0631\u0643 \u0623\u0646\u0647 \u0646\u0638\u0631\u064b\u0627 \u0644\u0623\u0646 \u0627\u0644\u0627\u062e\u062a\u0628\u0627\u0631\u0627\u062a \u0627\u0644\u0625\u0639\u062f\u0627\u062f\u064a\u0629 \u0627\u0644\u0633\u0627\u0628\u0642\u0629 \u0644\u0645 \u062a\u0643\u0646 \u0630\u0627\u062a \u062f\u0644\u0627\u0644\u0629 \u0625\u062d\u0635\u0627\u0626\u064a\u0629 (\u0639 = 0.52)\u060c \u0641\u0642\u062f \u0646\u0642\u0631\u0631 \u0625\u0632\u0627\u0644\u062a\u0647\u0627 \u0644\u0623\u0646\u0647\u0627 \u0644\u0627 \u062a\u0642\u062f\u0645 \u0623\u064a \u062a\u062d\u0633\u064a\u0646 \u0644\u0644\u0646\u0645\u0648\u0630\u062c \u0627\u0644\u0639\u0627\u0645. \u0641\u064a \u0647\u0630\u0647 \u0627\u0644\u062d\u0627\u0644\u0629\u060c \u064a\u0645\u0643\u0646\u0646\u0627 \u0625\u062c\u0631\u0627\u0621 \u0627\u0646\u062d\u062f\u0627\u0631 \u062e\u0637\u064a \u0628\u0633\u064a\u0637 \u0628\u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0627\u0644\u0633\u0627\u0639\u0627\u062a \u0627\u0644\u062a\u064a \u062a\u0645\u062a \u062f\u0631\u0627\u0633\u062a\u0647\u0627 \u0643\u0645\u062a\u063a\u064a\u0631 \u0645\u062a\u0648\u0642\u0639 \u0641\u0642\u0637.<\/span><\/p>\n
 \u0627\u0644\u062e\u0637\u0648\u0629 4: \u0627\u0644\u062a\u062d\u0642\u0642 \u0645\u0646 \u0627\u0641\u062a\u0631\u0627\u0636\u0627\u062a \u0627\u0644\u0646\u0645\u0648\u0630\u062c.<\/strong><\/span><\/p>\n
 \u0628\u0645\u062c\u0631\u062f \u0642\u064a\u0627\u0645\u0643 \u0628\u0625\u062c\u0631\u0627\u0621 \u0627\u0644\u0627\u0646\u062d\u062f\u0627\u0631 \u0627\u0644\u062e\u0637\u064a\u060c \u0642\u062f \u062a\u0631\u063a\u0628 \u0641\u064a \u0627\u0644\u062a\u062d\u0642\u0642 \u0645\u0646 \u0627\u0644\u0639\u062f\u064a\u062f \u0645\u0646 \u0627\u0644\u0627\u0641\u062a\u0631\u0627\u0636\u0627\u062a \u0644\u0644\u062a\u0623\u0643\u062f \u0645\u0646 \u0645\u0648\u062b\u0648\u0642\u064a\u0629 \u0646\u062a\u0627\u0626\u062c \u0646\u0645\u0648\u0630\u062c \u0627\u0644\u0627\u0646\u062d\u062f\u0627\u0631. \u0648\u062a\u0634\u0645\u0644 \u0647\u0630\u0647 \u0627\u0644\u0627\u0641\u062a\u0631\u0627\u0636\u0627\u062a \u0645\u0627 \u064a\u0644\u064a:<\/span><\/p>\n
 \u0627\u0644\u0627\u0641\u062a\u0631\u0627\u0636 \u0631\u0642\u0645 1:<\/strong> \u0647\u0646\u0627\u0643 \u0639\u0644\u0627\u0642\u0629 \u062e\u0637\u064a\u0629 \u0628\u064a\u0646 \u0645\u062a\u063a\u064a\u0631\u0627\u062a \u0627\u0644\u062a\u0648\u0642\u0639 \u0648\u0645\u062a\u063a\u064a\u0631 \u0627\u0644\u0627\u0633\u062a\u062c\u0627\u0628\u0629.<\/span><\/p>\n