A regression model relating x, number of salespersons at a branch office, to y, annual sales at the office (in thousands of dollars) provided the following regression output. Where motal = 40. ANOVA df MS F Significance F Regression 7,085.8 Residual Total 9,724.5 Coefficients Standard Error t Stat P-value Intercept 90.0 12.187 Number of 54.0 5.958 Salespersons a. Write the estimated regression equation (to whole number). b. Compute the F statistic and test the significance of the relationship at a 0.05 level of significance. (to 2 decimals) F-value p-value is Select your answer - we - Select your answer - v Ho c. Compute the t statistic and test the significance of the relationship at a 0.05 level of significance. (to 2 decimals) t Stat p-value is - Select your answer - , we Select your answer v Ho : B1 = d. Predict the annual sales at the Memphis branch office. This branch employs 12 salespersons.
A regression model relating x, number of salespersons at a branch office, to y, annual sales at the office (in thousands of dollars) provided the following regression output. Where motal = 40. ANOVA df MS F Significance F Regression 7,085.8 Residual Total 9,724.5 Coefficients Standard Error t Stat P-value Intercept 90.0 12.187 Number of 54.0 5.958 Salespersons a. Write the estimated regression equation (to whole number). b. Compute the F statistic and test the significance of the relationship at a 0.05 level of significance. (to 2 decimals) F-value p-value is Select your answer - we - Select your answer - v Ho c. Compute the t statistic and test the significance of the relationship at a 0.05 level of significance. (to 2 decimals) t Stat p-value is - Select your answer - , we Select your answer v Ho : B1 = d. Predict the annual sales at the Memphis branch office. This branch employs 12 salespersons.
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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A regression model relating , number of salespersons at a branch office, to , annual sales at the office (in thousands of dollars) provided the following regression output. Where .
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