A Regression Model Between Sales (Y in $1000), Unit Price $\hat { y }$

Multiple Choice

A regression model between sales (y in $1000) , unit price (x₁ in dollars) , and television advertisement (x₂ in dollars) resulted in the following function:
$\hat { y }$ = 7 - 3x₁ + 5x₂

For this model, SSR = 3500, SSE = 1500, and the sample size is 18.The coefficient of the unit price indicates that if the unit price is

A) increased by $1 (holding advertisement constant) , sales are expected to increase by $3.
B) decreased by $1 (holding advertisement constant) , sales are expected to decrease by $3.
C) increased by $1 (holding advertisement constant) , sales are expected to increase by $4000.
D) increased by $1 (holding advertisement constant) , sales are expected to decrease by $3000.