A regression analysis between sales (in $1000)and advertising (in $)resulted in the following least squares line: = 80,000 + 4x.This implies that:
A)an increase of $1 in advertising is expected to result in an increase of $4 in sales.
B)an increase of $4 in advertising is expected to result in an increase of $4,000 in sales.
C)an increase of $1 in advertising is expected to result in an increase of $80,000 in sales.
D)an increase of $1 in advertising is expected to result in an increase of $4,000 in sales.

Question

A regression analysis between sales (in $1000)and advertising (in $)resulted in the following least squares line:  = 80,000 + 4x.This implies that:
A)an increase of $1 in advertising is expected to result in an increase of $4 in sales. 
B)an increase of $4 in advertising is expected to result in an increase of $4,000 in sales. 
C)an increase of $1 in advertising is expected to result in an increase of $80,000 in sales. 
D)an increase of $1 in advertising is expected to result in an increase of $4,000 in sales.

Quizplus · Accepted Answer

The Answer of A regression analysis between sales (in $1000)and advertising (in $)resulted in the following least squares line:  = 80,000 + 4x.This implies that:
A)an increase of $1 in advertising is expected to result in an increase of $4 in sales. 
B)an increase of $4 in advertising is expected to result in an increase of $4,000 in sales. 
C)an increase of $1 in advertising is expected to result in an increase of $80,000 in sales. 
D)an increase of $1 in advertising is expected to result in an increase of $4,000 in sales.

A Regression Analysis Between Sales (In $1000)and Advertising (In $)Resulted