A sales manager is interested in determining the relationship between the amount spent on advertising and total sales. the manger collects data for the past months and runs a regression of sales on advertising expenditures. The results wth some missing values are presented below.

Regression Statistics
Multiple R R Square Adjusted R Square Standard Error Observations	0.492 0.242 0.208 40.975

ANOVA
	df	SS	MS	F	Significance
Regression Residual Total	1

	Coefficients	Standard Error	t Stat	P-value
Constant Advertising

What is the mean square error (MSE)?

Select one:

a.

b. cannot be determined

c.

d.

e.

A regression between foot length (response variable in cm) and height (explanatory variable in inches) for students resulted in the following regression equation: = + x. One student in the sample was 73 inches tall with a foot length of 29 cm. What is the predicted foot length for this student?

Select one:

a.

b.

c.

d. none of them

e.

A sales manager is interested in determining the relationship between the amount spent on advertising and total sales. the manger collects data for the past months and runs a regression of sales on advertising expenditures. The results wth some missing values are presented below.

Regression Statistics
Multiple R R Square Adjusted R Square Standard Error Observations	0.492 0.242 0.208 40.975

ANOVA
	df	SS	MS	F	Significance
Regression Residual Total	1

	Coefficients	Standard Error	t Stat	P-value
Constant Advertising

How much of the variation is explained by the model?

Select one:

a. %

b. %

c. %

d. %

e. %

A sales manager is interested in determining the relationship between the amount spent on advertising and total sales. the manger collects data for the past months and runs a regression of sales on advertising expenditures. The results wth some missing values are presented below.

Regression Statistics
Multiple R R Square Adjusted R Square Standard Error Observations	0.492 0.242 0.208 40.975

ANOVA
	df	SS	MS	F	Significance
Regression Residual Total	1

	Coefficients	Standard Error	t Stat	P-value
Constant Advertising

To test the significance of the regression what is the test statistic value?

Select one:

a.

b. either or

c. either or

d.

e.

A sales manager is interested in determining the relationship between the amount spent on advertising and total sales. the manger collects data for the past months and runs a regression of sales on advertising expenditures. The results wth some missing values are presented below.

Regression Statistics
Multiple R R Square Adjusted R Square Standard Error Observations	0.492 0.242 0.208 40.975

ANOVA
	df	SS	MS	F	Significance
Regression Residual Total	1

	Coefficients	Standard Error	t Stat	P-value
Constant Advertising

What is the total sum of squares (SStotal)?

Select one:

a. cannot be determined

b.

c.

d.

e.