A regression analysis between sales (in $1000) and advertising (in $) resulted in the following least squares line: = 80,000 + 5x. This implies that:
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 $5,000 in sales
C) an increase of $1 in advertising is expected, on average, to result in an increase of $80,005 in sales
D) an increase of $1 in advertising is expected, on average, to result in an increase of $5,000 in sales
E) all of these

Question

A regression analysis between sales (in $1000) and advertising (in $) resulted in the following least squares line:  = 80,000 + 5x. This implies that:
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 $5,000 in sales 
C) an increase of $1 in advertising is expected, on average, to result in an increase of $80,005 in sales 
D) an increase of $1 in advertising is expected, on average, to result in an increase of $5,000 in sales 
E) all of these

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. This implies that:
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 $5,000 in sales 
C) an increase of $1 in advertising is expected, on average, to result in an increase of $80,005 in sales 
D) an increase of $1 in advertising is expected, on average, to result in an increase of $5,000 in sales 
E) all of these

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