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 n(total) = 30. ANOVA             df SS MS F Significance F Regression   7,026.8   Residual       Total   9,094.9         Coefficients Standard Error t Stat P-value Intercept 83.0 11.752   Number of Salespersons 53.0 5.754   a. Write the estimated regression equation (to whole number).

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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 n(total) = 30.

ANOVA          
  df SS MS F Significance F
Regression   7,026.8  
Residual      
Total   9,094.9  
 

 

  Coefficients Standard Error t Stat P-value
Intercept 83.0 11.752  
Number of Salespersons 53.0 5.754  

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)

c. Compute the t statistic and test the significance of the relationship at a 0.05 level of significance. (to 2 decimals)

T = ? , H0 : β1 = ?

d. Predict the annual sales at the Memphis branch office. This branch employs 14 salespersons. To the nearest thousand (to whole number)

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