The following Minitab output resulted from fitting the multiple linear regression model, E(Y) = B + B1X1+ B2X2+ B3X1X2: Term Coef SE Coef T-Value P-Value Constant 4. 49 1.89 2.37 0. 022 X1 0.759 0. 374 2 . 03 0. 048 X2 0. 965 0. 426 2.26 0. 028 X1*X2 0. 1742 0. 0821 2. 12 0. 039 Note that X1 and X2 are both quantitative and have sample values that range between 0 an a. Conduct a hypothesis test for whether the interaction term, X1X2, can be dropped from using a significance level of 0.05: L Hypotheses: HO: 63 = 0 vs Ha: $3 # 0 o Test statistic: 2.12 o p-value: 0.039 Reject NH in favour of AH be v o Decision: . Interpretation: The sample data suggests tha v Based on your conclusion to part (a), write the fitted sample regression equation [ Select ] ted by the Minitab output