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Question Help The ANOVA summary table to the right is for a multiple regression model with five independent variables. Complete parts (a) Degrees of Sum of through (e). Source Freedom Squares Regression 5 270 Error 16 190 Total 21 460 a. Determine the regression mean square (MSR) and the mean square error (MSE). MSR = (Round to four decimal places as needed.) MSE = (Round to four decimal places as needed.) b. Compute the overall FSTAT test statistic. FSTAT =(Round to two decimal places as needed.) c. Determine whether there is a significant relationship between Y and the five independent variables at the 0.05 level of significance. State the null and alternative hypotheses. Choose the correct hypotheses below. O A. Ho- B1 = P2 # . . . $ $5 # 0 OB. Ho: P1 = P2 # . . . # 85# 0 Hy : By = B2 = . . . = 15 = 0 Hy: At least one Bj = 0, for j = 1, 2, ..., 5 O C. Ho: B1 = B2 = . . . = P5=0 O D. HO: P1 = P2= . . . = $5=0 Hy: By # B2 # . . . $ 15 # 0 Hy: At least one B; # 0, for j = 1, 2, ..., 5 The p-value is. (Round to three decimal places as needed.) Draw a conclusion. Choose the correct answer below. Click to select your answer(s).The ANOVA summary table to the right is for a multiple regression model with five independent variables. Complete parts (a) Degrees of Sum of through (e). Source Freedom Squares Regression 5 270 Error 16 190 Total 21 460 I he p-value is. (Round to three decimal places as needed.) Draw a conclusion. Choose the correct answer below. A. There is sufficient evidence of a significant linear relationship with at least one of the independent variables because the p-value is less than the level of significance. O B. There is insufficient evidence of a significant linear relationship with at least one of the independent variables because the test statistic is greater than the critical value. C. There is sufficient evidence of a significant linear relationship with at least one of the independent variables because the test statistic is greater than the level of significance. O D. There is insufficient evidence of a significant linear relationship with at least one of the independent variables because the test statistic is less than the critical value. d. Compute the coefficient of multiple determination, re, and interpret its meaning. 2 = (Round to four decimal places as needed.) Interpret the meaning of the coefficient of multiple determination. The coefficient of multiple determination indicates that % of the variation in the variable can be explained by the variation in the variables. (Round to two decimal places as needed.) e. Compute the adjusted r2. "adj = (Round to four decimal places as needed.) Click to select your answer(s)