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 otal = 26. ANOVA df Significance MS F Regression 6.473.2 Residual Total 8,514.0 Coefficients Standard Error t Stat P-value Intercept 79.0 11.599 Number of 54.0 5.579 Salespersons a. Write the estimated regression equation (to whole number). = 79 + 54 x 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 v, 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 - Select your answer - v Ho: B, = we d. Predict the annual sales at the Memphis branch office. This branch employs 13 salespersons. thousand (to whole number)

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 otal = 26. ANOVA df Significance MS F Regression 6.473.2 Residual Total 8,514.0 Coefficients Standard Error t Stat P-value Intercept 79.0 11.599 Number of 54.0 5.579 Salespersons a. Write the estimated regression equation (to whole number). = 79 + 54 x 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 v, 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 - Select your answer - v Ho: B, = we d. Predict the annual sales at the Memphis branch office. This branch employs 13 salespersons. thousand (to whole number)

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018

18th Edition

ISBN:9780079039897

Author:Carter

Publisher:Carter

Chapter4: Equations Of Linear Functions

Section4.6: Regression And Median-fit Lines

Problem 4GP

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