Management proposed the following regression model to predict sales at a fast-food outlet. y = ?0 + ?1x1 + ?2x2 + ?3x3 + ? where x1  =  number of competitors within one mile x2  =  population within one mile (1,000s) x3  =    1 if drive-up window present 0 otherwise y  =  sales ($1,000s). The following estimated regression equation was developed after 20 outlets were surveyed. ŷ = 10.5 − 4.2x1 + 6.8x2 + 15.5x3 (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 two competitors within one mile, a population of 8,000 within one mile, and no 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 a drive-up window.

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Management proposed the following regression model to predict sales at a fast-food outlet.
y = ?0 + ?1x1 + ?2x2 + ?3x3 + ?
where
x1  =  number of competitors within one mile
x2  =  population within one mile (1,000s)
x3  = 
 
1 if drive-up window present
0 otherwise
y  =  sales ($1,000s).
The following estimated regression equation was developed after 20 outlets were surveyed.
ŷ = 10.5 − 4.2x1 + 6.8x2 + 15.5x3
(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 two competitors within one mile, a population of 8,000 within one mile, and no 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 a drive-up window.
 
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