Sales at Management proposed thể following regression model to pri y = Bo + Bx, + Bx + Bx, + € where x, = number of competitors within one mile X = population within one mile (1000s) lif drive-up window present l0 otherwise y = sales ($1000s) The following estimated regression equation was developed after 20 outlets were surveyed. ý = 10.1 - 4.6a +6.622 + 15.63 a. What is the expected amount of sales attributable to the drive-up window? $4 b. Predict sales for a store with two competitors, a population of 8,000 within one mile, and no drive-up window. Estimate of sales = $ c. Predict sales for a store with one competitor, a population of 4,000 within one mile, and a drive-up window. Tintimnte f onl

Managerial Economics: Applications, Strategies and Tactics (MindTap Course List)
14th Edition
ISBN:9781305506381
Author:James R. McGuigan, R. Charles Moyer, Frederick H.deB. Harris
Publisher:James R. McGuigan, R. Charles Moyer, Frederick H.deB. Harris
Chapter4: Estimating Demand
Section: Chapter Questions
Problem 1E
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Management proposed the following regression model to predict sales at a fast-food outlet.
y = Bo+ Bx + B,x, + B,t, + e
where
x = number of competitors within one mile
X2 = population within one mile (1000s)
lif drive-up window present
X =
l0 otherwise
y = sales ($1000s)
The following estimated regression equation was developed after 20 outlets were surveyed.
ý = 10.1 – 4.61 + 6.6x2 + 15.6r3
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.
Estimate of sales = $
c. Predict sales for a store with one competitor, a population of 4,000 within one mile, and a drive-up window.
Estimate of sales = $
%24
Transcribed Image Text:Management proposed the following regression model to predict sales at a fast-food outlet. y = Bo+ Bx + B,x, + B,t, + e where x = number of competitors within one mile X2 = population within one mile (1000s) lif drive-up window present X = l0 otherwise y = sales ($1000s) The following estimated regression equation was developed after 20 outlets were surveyed. ý = 10.1 – 4.61 + 6.6x2 + 15.6r3 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. Estimate of sales = $ c. Predict sales for a store with one competitor, a population of 4,000 within one mile, and a drive-up window. Estimate of sales = $ %24
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