A regression model between sales (y in $1000), unit price (x₁ in dollars), and television advertisement (x₂ in dollars) resulted in the following function: = 8 - 4x₁ + 5x₂ For this model, SSR = 3500, SSE = 1500, and the sample size is 20. 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 $4. B) decreased by $1 (holding advertisement constant), sales are expected to decrease by $4. 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 $4000.

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The Answer of A regression model between sales (y in $1000), unit price (x₁ in dollars), and television advertisement (x₂ in dollars) resulted in the following function: = 8 - 4x₁ + 5x₂ For this model, SSR = 3500, SSE = 1500, and the sample size is 20. 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 $4. B) decreased by $1 (holding advertisement constant), sales are expected to decrease by $4. 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 $4000.

A Regression Model Between Sales (Y in $1000), Unit Price