The ols() method in statsmodels module is used to fit a multiple regression model using "Exam4" as the response variable and "Exam1", "Exam2", and "Exam3" as predictor variables. The output is shown below. A text version is available. What is the correct regression equation based on this output and what is the coefficient of determination? Select one. 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: Fri, 16 Aug 2019 Prob (F-statistic) : 0. 0276 Time: 12 : 38: 46 Log-Likelihood: -169.85 No. Observations : 50 AIC : 347.7 Df Residuals : 46 BIC: 355.4 of Model: Covariance Type: nonrobust coef std err 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 (Omnibus) : 0. 642 Jar que-Bera (JB) : 0. 738 Skew: 0. 290 Prob (JB) : 0. 691 Kurtosis : 2. 868 Cond. No. 1.41e+03 Exam4 = 46.2612 + 0.1742 Exam1 + 0.1462 Exam2 + 0.0575 Exam3 coefficient of determination = 3.329 Exam4 = 46.2612 + 0.1742 Exam1 + 0.1462 Exam2 + 0.0575 Exam3 coefficient of determination = 0.178 Exam4 = 10.969 + 0.120 Exam1 + 0.078 Exam2 + 0.053 Exam3 O coefficient of determination = 0.178 Exam4 = 10.969 + 0.120 Exam1 + 0.078 Exam2 + 0.053 Exam3 O coefficient of determination = 3.329