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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) 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.

Functions and Change: A Modeling Approach to College Algebra (MindTap Course List)
Functions and Change: A Modeling Approach to College Algebra (MindTap Course List)
6th Edition
ISBN:9781337111348
Author:Bruce Crauder, Benny Evans, Alan Noell
Publisher:Bruce Crauder, Benny Evans, Alan Noell
Chapter3: Straight Lines And Linear Functions
Section3.CR: Chapter Review Exercises
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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
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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