Tutorial Exercise Management proposed the following regression model to predict sales at a fast-food outlet. y = Bo + B,X1 + B2X2 + B3X3 + 8 where X1 number of competitors within one mile X2 =...


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


Tutorial Exercise<br>Management proposed the following regression model to predict sales at a fast-food outlet.<br>y = Bo + B,X1 + B2X2 + B3X3 + 8<br>where<br>X1<br>number of competitors within one mile<br>X2 = population within one mile (1,000s)<br>S1 if drive-up window present<br>*3 =<br>l0 otherwise<br>y = sales ($1,000s).<br>The following estimated regression equation was developed after 20 outlets were surveyed.<br>ý = 10.8 - 4.2x, + 6.8x, + 15.2x3<br>(a) What is the expected amount of sales (in dollars) attributable to the drive-up window?<br>(b) Predict sales (in dollars) for a store with three competitors within one mile, a population of 8,000 within<br>one mile, and a drive-up window.<br>(c) Predict sales (in dollars) for a store with one competitor within one mile, a population of 3,000 within<br>one mile, and no drive-up window.<br>

Extracted text: Tutorial Exercise Management proposed the following regression model to predict sales at a fast-food outlet. y = Bo + B,X1 + B2X2 + B3X3 + 8 where X1 number of competitors within one mile X2 = population within one mile (1,000s) S1 if drive-up window present *3 = l0 otherwise y = sales ($1,000s). The following estimated regression equation was developed after 20 outlets were surveyed. ý = 10.8 - 4.2x, + 6.8x, + 15.2x3 (a) What is the expected amount of sales (in dollars) attributable to the drive-up window? (b) Predict sales (in dollars) for a store with three competitors within one mile, a population of 8,000 within one mile, and a drive-up window. (c) Predict sales (in dollars) for a store with one competitor within one mile, a population of 3,000 within one mile, and no drive-up window.

Jun 07, 2022
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