OLS Regression Results Dep. Variable: Exam4 R-squared: 0. 178 Model: OLS Adj. R-squared: 0. 125 Method: Least

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OLS Regression Results Dep. Variable: Exam4 R-squared: 0. 178 Model: OLS Adj. R-squared: 0. 125 Method: Least Squares F-statistic: 3. 329 Date: Sun, 18 Aug 2019 Prob (F-statistic) : 0. 0276 Time: 10 : 59:12 Log-Likelihood : -169.85 No. Observations : 50 AIC: 347.7 Of Residuals: 46 BIC: 355.4 Df Model: 3 Covariance Type: nonrobust coef std err t P>It| [0 . 025 0. 975] Intercept 46. 2612 10.969 4.217 0.000 24. 181 68 . 341 Exam1 0. 1742 0. 120 1. 453 0. 153 -0. 067 0. 416 Exam2 0. 1462 0. 078 1.873 0. 067 -0. 011 0. 303 Exam3 0. 0575 0.053 1. 085 0. 284 -0. 049 0 . 164 Omnibus : 0. 886 Durbin-Watson: 1. 530 Prob (Omni bus) : 0. 642 Jarque-Bera (JB) : 0. 738 Skew: 0. 290 Prob (JB) : 0. 691 Kurtosis : 2 . 868 Cond. No. 1.41e+03

Posted Date: Jun 25, 2024 06:04 AM

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OLS Regression Results Dep. Variable: Exam4 R-squared: 0. 178 Model: OLS Adj. R-squared: 0. 125 Method: Least

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