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The Following Regression Model Has Been Proposed to Predict Sales

question 107

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The following regression model has been proposed to predict sales at a computer store. The following regression model has been proposed to predict sales at a computer store. = 50 - 3x<sub>1</sub> + 20x<sub>2</sub> + 10x<sub>3</sub> where x<sub>1</sub> = competitor's previous day's sales (in $1,000s) x<sub>2</sub> = population within 1 mile (in 1,000s) = sales (in $1000s) Predict sales (in dollars) for a store with the competitor's previous day's sale of $5,000, a population of 20,000 within 1 mile, and nine radio advertisements. = 50 - 3x1 + 20x2 + 10x3
where
x1 = competitor's previous day's sales (in $1,000s)
x2 = population within 1 mile (in 1,000s) The following regression model has been proposed to predict sales at a computer store. = 50 - 3x<sub>1</sub> + 20x<sub>2</sub> + 10x<sub>3</sub> where x<sub>1</sub> = competitor's previous day's sales (in $1,000s) x<sub>2</sub> = population within 1 mile (in 1,000s) = sales (in $1000s) Predict sales (in dollars) for a store with the competitor's previous day's sale of $5,000, a population of 20,000 within 1 mile, and nine radio advertisements. The following regression model has been proposed to predict sales at a computer store. = 50 - 3x<sub>1</sub> + 20x<sub>2</sub> + 10x<sub>3</sub> where x<sub>1</sub> = competitor's previous day's sales (in $1,000s) x<sub>2</sub> = population within 1 mile (in 1,000s) = sales (in $1000s) Predict sales (in dollars) for a store with the competitor's previous day's sale of $5,000, a population of 20,000 within 1 mile, and nine radio advertisements. = sales (in $1000s)
Predict sales (in dollars) for a store with the competitor's previous day's sale of $5,000, a population of 20,000 within 1 mile, and nine radio advertisements.

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