Management proposed the following regression model to predict sales at a fast-food outlet. y = Bo + Bi +B2a2+B#3 +e where E = number of competitors within one mile *2 = population within one mile (1000s) f1 if drive-up window present 10 otherwise y = sales ($1000s) The following estimated regression equation was developed after 20 outlets were surveyed. ý = 10.3 - 4.621 +6.1z +15.7s 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 = 8 c. Predict sales for a store with one competitor, a population of 3,000 within 1 mile, and a drive-up window. Estimate of sales = $
Management proposed the following regression model to predict sales at a fast-food outlet. y = Bo + Bi +B2a2+B#3 +e where E = number of competitors within one mile *2 = population within one mile (1000s) f1 if drive-up window present 10 otherwise y = sales ($1000s) The following estimated regression equation was developed after 20 outlets were surveyed. ý = 10.3 - 4.621 +6.1z +15.7s 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 = 8 c. Predict sales for a store with one competitor, a population of 3,000 within 1 mile, and a drive-up window. Estimate of sales = $
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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