A regression analysis between sales (in $1000) and advertising (in $) resulted in the following least-squares line: = 80,000 + 5x. What does this imply?
A) An increase of $1 in advertising is expected, on average, to result in an increase of $5 in sales.
B) An increase of $5 in advertising is expected, on average, to result in an increase of $5000 in sales.
C) An increase of $1 in advertising is expected, on average, to result in an increase of $5000 in sales.
D) An increase of $1 in advertising is expected, on average, to result in an increase of $80,005 in sales.

Question

A regression analysis between sales (in $1000) and advertising (in $) resulted in the following least-squares line:  = 80,000 + 5x. What does this imply?
A) An increase of $1 in advertising is expected, on average, to result in an increase of $5 in sales. 
B) An increase of $5 in advertising is expected, on average, to result in an increase of $5000 in sales. 
C) An increase of $1 in advertising is expected, on average, to result in an increase of $5000 in sales. 
D) An increase of $1 in advertising is expected, on average, to result in an increase of $80,005 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 + 5x. What does this imply?
A) An increase of $1 in advertising is expected, on average, to result in an increase of $5 in sales. 
B) An increase of $5 in advertising is expected, on average, to result in an increase of $5000 in sales. 
C) An increase of $1 in advertising is expected, on average, to result in an increase of $5000 in sales. 
D) An increase of $1 in advertising is expected, on average, to result in an increase of $80,005 in sales.

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