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The statsmodels olsU method is used on a cars dataset to fit a multiple regression model using Quality as the response variable. Speed and Angle

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The statsmodels olsU 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: f= n*|515PM*F21"339 If the level of significance, alpha. is 0.10, based on the output shown, is Angle statisticallyr significant in the multiple regression model shown above? Select one. A text version of this output is available. Null Hypothesis Ho: By = 0 Alternative Hypothesis H, : $2 # 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. O Null Hypothesis H.: By = 0 Alternative Hypothesis H, : B2 # 0 P-value = 4.0280 Since the P-value 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. Null Hypothesis H : By= 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: B2= 0 Alternative Hypothesis H, : $2 # 0 P-value = 0.000 Since the P-value 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

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