A regression model relating , number of salespersons at a branch office, to y, annual sales at the office (in thousands of dollars) provided the following regression output. Where total = 40. 1 Intercept Number of Salespersons a. Write the estimated regression equation (to whole number). 88 + ANOVA Regression Residual Total 119.85 $ df Coefficients 88.0 58.0 10.38 SS 6,761.8 8,905.8 MS F Standard Error 11.338 5.589 ŷ 58 T 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 less than 0.01 # F we reject 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 less than 0.01 : we reject Ho: B₁= d. Predict the annual sales at the Memphis branch office. This branch employs 14 salespersons. thousand (to whole number) Significance F t Stat P-value
A regression model relating , number of salespersons at a branch office, to y, annual sales at the office (in thousands of dollars) provided the following regression output. Where total = 40. 1 Intercept Number of Salespersons a. Write the estimated regression equation (to whole number). 88 + ANOVA Regression Residual Total 119.85 $ df Coefficients 88.0 58.0 10.38 SS 6,761.8 8,905.8 MS F Standard Error 11.338 5.589 ŷ 58 T 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 less than 0.01 # F we reject 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 less than 0.01 : we reject Ho: B₁= d. Predict the annual sales at the Memphis branch office. This branch employs 14 salespersons. thousand (to whole number) Significance F t Stat P-value
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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The first three parts a,b,c have already been answered. Please help with the last blank of part c and part d. Thank you
Transcribed Image Text:A regression model relating , number of salespersons at a branch office, to y, annual sales at the office (in thousands of dollars) provided the following
regression output. Where total = = 40.
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d. Predict the annual sales at the Memphis branch office. This branch employs 14 salespersons.
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Regression
Residual
Total
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