Management proposed the following regression model to predict sales at a fast-food outlet. where x = number of competitors within one mile X = population within one mile (1,000s) S1 # drive-up window present o otherwise y = sales ($1,000s). The following estimated regression equation was developed after 20 outlets were surveyed. 9- 10.9 - 4.2x, + 6.8x, + 15.3x, (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 no drive-up window %24 (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.
Management proposed the following regression model to predict sales at a fast-food outlet. where x = number of competitors within one mile X = population within one mile (1,000s) S1 # drive-up window present o otherwise y = sales ($1,000s). The following estimated regression equation was developed after 20 outlets were surveyed. 9- 10.9 - 4.2x, + 6.8x, + 15.3x, (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 no drive-up window %24 (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.
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
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![Management proposed the following regression model to predict sales at a fast-food outlet.
where
x, = number of competitors within one mile
X = population within one mile (1,000s)
Siif drive-up window present
O otherwise
y = sales ($1,000s).
The following estimated regression equation was developed after 20 outlets were surveyed.
9 = 10.9 - 4.2x, + 6.8x, + 15.3x
(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 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.
%24
Need Help?
Raad
Watik
Master t](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F14dc582a-2e7b-4558-8743-59e914c4c7b5%2Fe5fcea12-bcea-46b9-bc65-d751d00658db%2F6dtu2c_processed.jpeg&w=3840&q=75)
Transcribed Image Text:Management proposed the following regression model to predict sales at a fast-food outlet.
where
x, = number of competitors within one mile
X = population within one mile (1,000s)
Siif drive-up window present
O otherwise
y = sales ($1,000s).
The following estimated regression equation was developed after 20 outlets were surveyed.
9 = 10.9 - 4.2x, + 6.8x, + 15.3x
(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 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.
%24
Need Help?
Raad
Watik
Master t
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