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Exhibit 15-2 A Regression Model Between Sales (Y in $1,000), Unit Price

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Exhibit 15-2
A regression model between sales (Y in $1,000) , unit price (X1 in dollars) and television advertisement (X2 in dollars) resulted in the following function: Exhibit 15-2 A regression model between sales (Y in $1,000) , unit price (X<sub>1</sub> in dollars)  and television advertisement (X<sub>2</sub> in dollars)  resulted in the following function:   For this model SSR = 3500, SSE = 1500, and the sample size is 18. -Refer to Exhibit 15-2. The coefficient of the unit price indicates that if the unit price is A) increased by $1 (holding advertising constant) , sales are expected to increase by $3 B) decreased by $1 (holding advertising constant) , sales are expected to decrease by $3 C) increased by $1 (holding advertising constant) , sales are expected to increase by $4,000 D) increased by $1 (holding advertising constant) , sales are expected to decrease by $3,000 For this model SSR = 3500, SSE = 1500, and the sample size is 18.
-Refer to Exhibit 15-2. The coefficient of the unit price indicates that if the unit price is


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