The following estimated regression equation has been proposed to predict sales at a fast food outlet. ý = 16 - 4x₁ + 8x₂ + 14x3 where x₁ = the number of competitors within 1 mile. x₂ = the population within 1 mile (in 1,000s) X3 = 1 if drive-up windows are present; 0 otherwise ŷ = estimated sales (in $1,000s) (a) What is the interpretation of 14 (the coefficient of x3) in the regression equation? (Give the answer in dollars.) Sales in dollars at outlets with drive-up windows are on average $ 14 X higher than those without (b) Predict sales for an outlet with 3 competitors within one mile, a population of 14,000 within one mile, and one drive-up window (give the answer in dollars). $130 X Need Help? drive-up windows. (c) Predict sales for an outlet with 3 competitors within one mile, a population of 14,000 within one mile, and no drive-up window (give the answer in dollars). $112004 X Read It
The following estimated regression equation has been proposed to predict sales at a fast food outlet. ý = 16 - 4x₁ + 8x₂ + 14x3 where x₁ = the number of competitors within 1 mile. x₂ = the population within 1 mile (in 1,000s) X3 = 1 if drive-up windows are present; 0 otherwise ŷ = estimated sales (in $1,000s) (a) What is the interpretation of 14 (the coefficient of x3) in the regression equation? (Give the answer in dollars.) Sales in dollars at outlets with drive-up windows are on average $ 14 X higher than those without (b) Predict sales for an outlet with 3 competitors within one mile, a population of 14,000 within one mile, and one drive-up window (give the answer in dollars). $130 X Need Help? drive-up windows. (c) Predict sales for an outlet with 3 competitors within one mile, a population of 14,000 within one mile, and no drive-up window (give the answer in dollars). $112004 X Read It
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
Section3.4: Linear Regression
Problem 12SBE: Find the equation of the regression line for the following data set. x 1 2 3 y 0 3 4
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