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A regression model relating z, 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. ANOVA Regression Residual Total Intercept Number of Salespersons a. Write the estimated regression equation (to whole number). df Coefficients 88.0 58.0 SS 6,761.8 8,905.8 MS F t Stat p-value is -Select your answer- we-Select your answer-Ho: B₁- d. Predict the annual sales at the Memphis branch office. This branch employs 14 salespersons. $ thousand (to whole number) Standard Error 11.338 5.589 Significance F 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- He 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

A regression model relating z, 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. ANOVA Regression Residual Total Intercept Number of Salespersons a. Write the estimated regression equation (to whole number). df Coefficients 88.0 58.0 SS 6,761.8 8,905.8 MS F t Stat p-value is -Select your answer- we-Select your answer-Ho: B₁- d. Predict the annual sales at the Memphis branch office. This branch employs 14 salespersons. $ thousand (to whole number) Standard Error 11.338 5.589 Significance F 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- He 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

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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A regression model relating 2, 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, O Icon Key 2 W S X M H Intercept Number of Salespersons a. Write the estimated regression equation (to whole number). y = + b. Compute the F 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: Ho: B₁ = d. Predict the annual sales at the Memphis branch office. This branch employs 14 salespersons. $ thousand (to whole number) command F-value p-value is-Select your answer- - , we-Select your answer: Ho c. Compute the t statistic and test the significance of the relationship at a 0.05 level of significance. (to 2 decimals) # #m 3 I E D C $ 4 R F ANOVA % Regression Residual Total 5 V T G A df Coefficients 88.0 58.0 6 B SS 6,761.8 Y 8,905.8 MacBook Pro H & 7 MS F Standard Error 11.338 5.589 U * 00 8 L J N - Significance F M t Stat ( 9 K P-value < O ) H -O L < 3 P . V > : ; 24 ww I command option + 11 = 11 ? 1 M } 1 0 d
Transcribed Image Text:A regression model relating 2, 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, O Icon Key 2 W S X M H Intercept Number of Salespersons a. Write the estimated regression equation (to whole number). y = + b. Compute the F 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: Ho: B₁ = d. Predict the annual sales at the Memphis branch office. This branch employs 14 salespersons. $ thousand (to whole number) command F-value p-value is-Select your answer- - , we-Select your answer: Ho c. Compute the t statistic and test the significance of the relationship at a 0.05 level of significance. (to 2 decimals) # #m 3 I E D C $ 4 R F ANOVA % Regression Residual Total 5 V T G A df Coefficients 88.0 58.0 6 B SS 6,761.8 Y 8,905.8 MacBook Pro H & 7 MS F Standard Error 11.338 5.589 U * 00 8 L J N - Significance F M t Stat ( 9 K P-value < O ) H -O L < 3 P . V > : ; 24 ww I command option + 11 = 11 ? 1 M } 1 0 d
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