A regression analysis between sales (in $1000) and advertising (in $) yielded the least squares line
= 80 000 + 5x. This implies that an:
A) increase of $1 in advertising is expected to result in an increase of $5 in sales.
B) increase $5 in advertising is expected to result in an increase of $5000 in sales.
C) increase of $1 in advertising is expected to result in an increase of $80 005 in sales.
D) increase of $1 in advertising is expected to result in an increase of $5000 in sales.

Question

A regression analysis between sales (in $1000) and advertising (in $) yielded the least squares line 
 = 80 000 + 5x. This implies that an:
A) increase of $1 in advertising is expected to result in an increase of $5 in sales. 
B) increase $5 in advertising is expected to result in an increase of $5000 in sales. 
C) increase of $1 in advertising is expected to result in an increase of $80 005 in sales. 
D) increase of $1 in advertising is expected to result in an increase of $5000 in sales.

Quizplus · Accepted Answer

The Answer of A regression analysis between sales (in $1000) and advertising (in $) yielded the least squares line 
 = 80 000 + 5x. This implies that an:
A) increase of $1 in advertising is expected to result in an increase of $5 in sales. 
B) increase $5 in advertising is expected to result in an increase of $5000 in sales. 
C) increase of $1 in advertising is expected to result in an increase of $80 005 in sales. 
D) increase of $1 in advertising is expected to result in an increase of $5000 in sales.

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