The statsmodels ols() method is used on a cars dataset to fit a multiple regression model using Quality as the response variable. Speed and Angle are used as predictor variables. The general form of this model is:

Po + B,Speed + ByAngleQ Null Hypothesis Ho: pl: 0 Alternative Hypothesis H11 [3, q 0 P-value = 0.000 Since the Pvalue is less than the level of significance, alpha, do not reject the null hypothesis. Conclude that the estimate for the Angle parameter is zero. Therefore, Angle is not statistically significant in the multiple regression model. 0 Null Hypothesis Hui pl: 0 Alternative Hypothesis H1: p, a 0 P-value = 4.0280 Since the Pvalue is greater than the level of significance, alpha, do not reject the null hypothesis. Conclude that the estimate for the Angle parameter is zero. Therefore, Angle is not statistically significant in the multiple regression model. O Null Hypothesis HQ : B, = 0 Alternative Hypothesis H, : B2 # 0 P-value = 4.0280 Since the P-value is greater than the level of significance, alpha, reject the null hypothesis. Conclude that the estimate for the Angle parameter is non-zero. Therefore, Angle is statistically significant in the multiple regression model. Null Hypothesis H : 2 = 0 Alternative Hypothesis H1 : B2 # 0 P-value = 0.000 Since the P-value is less than the level of significance, alpha, reject the null hypothesis. Conclude that the estimate for the Angle parameter is non-zero. Therefore, Angle is statistically significant in the multiple regression model