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a. Determine the regression mean square (MSR) and the mean square error (MSE). MSRO (Round to four decimal places as needed.) MSE-O Round to four decimal places as needed.) The overal FSTAT lest statistic 5.83. b. Determine whether there is a significant relationship between Y and the two independent variables at the 0.05 level of significance. Stato the null and alternative hypotheses. Choose the correct hypotheses below. OA. H; B, ,40 OB. Hi P, "P, 40 H: At least one A -0. for j= 1, 2 OD. H; P, "P-0 H Al least one , 0, for =1, 2 The p-value is found to be 0.013. Draw a conclusion. Choose te corect answer below. OA 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. OB. 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. OC. 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. OD. There is suficient 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.

a. Determine the regression mean square (MSR) and the mean square error (MSE). MSRO (Round to four decimal places as needed.) MSE-O Round to four decimal places as needed.) The overal FSTAT lest statistic 5.83. b. Determine whether there is a significant relationship between Y and the two independent variables at the 0.05 level of significance. Stato the null and alternative hypotheses. Choose the correct hypotheses below. OA. H; B, ,40 OB. Hi P, "P, 40 H: At least one A -0. for j= 1, 2 OD. H; P, "P-0 H Al least one , 0, for =1, 2 The p-value is found to be 0.013. Draw a conclusion. Choose te corect answer below. OA 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. OB. 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. OC. 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. OD. There is suficient 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.

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Degrees of Freedom Squares The ANOVA summary table to the right is for a multiple regression model with two independent variables. Complete the questions. Sum of Source Regression 2 140 Error 15 180 Total 17 320 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.) The overall FSTAT test statistic = 5.83. b. Determine whether there is a significant relationship between Y and the two independent variables 0.05 level of significance. State the null and alternative hypotheses. Choose the correct hypotheses below. O A. Ho: B, # P2#0 H,: B, = P2 =0 O B. H,: P, # P2 #0 H;: At least one =0, for j = 1, 2 O D. Ho: B, = P2=0 OC. Hg: P = P2 =0 H;: At least one B #0, for j = 1, 2 The p-value is found to be 0.013. Draw a conclusion. Choose the correct answer below. O A. 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. O B. 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. OC. There 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. O D. There 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.
Transcribed Image Text:Degrees of Freedom Squares The ANOVA summary table to the right is for a multiple regression model with two independent variables. Complete the questions. Sum of Source Regression 2 140 Error 15 180 Total 17 320 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.) The overall FSTAT test statistic = 5.83. b. Determine whether there is a significant relationship between Y and the two independent variables 0.05 level of significance. State the null and alternative hypotheses. Choose the correct hypotheses below. O A. Ho: B, # P2#0 H,: B, = P2 =0 O B. H,: P, # P2 #0 H;: At least one =0, for j = 1, 2 O D. Ho: B, = P2=0 OC. Hg: P = P2 =0 H;: At least one B #0, for j = 1, 2 The p-value is found to be 0.013. Draw a conclusion. Choose the correct answer below. O A. 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. O B. 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. OC. There 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. O D. There 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.
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