Regression model to predict sales at fast-food outlet

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Reference no: EM131174297

Management proposed the following regression model to predict sales at a fast-food outlet:

where yi =b0 + b1x1,i + b2x2,i + b3x3,i + ei

yi = sales ($1000s)

x1,I = number of competitors within one mile

x2,i = population within one mile (1000s)

x3,i = 1 if a drive up window is present and 0 otherwise

The following estimated regression equation was developed after 20 outlets were surveyed:

y^i = 10.1 - 4.2x1,i + 6.8x2,i + 15.3x3,i

a. What is the expected amount of sales attributable to the drive-up window?

b. Predict sales for a store with two competitors, a population of 8,000 within one mile, and no drive-up window.

c. Predict sales for a store with one competitor, a population of 3,000 within one mile, and a drive-up window.

Reference no: EM131174297

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