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
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Please fill in the blanks and select the correct answers over the image provided. Thank you
![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.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fb5edc220-a8cb-4bdc-8a2f-54c5fdde55e6%2Fe4999549-685f-4d3f-ac9e-76614782e44c%2Fm958o8p_processed.png&w=3840&q=75)
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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