a. Sales in thousands =10.5+15.5*1 = $ 26 thousands
b. Y =10.5-4.3*2+6.2*9000+15.5*0 = $ 55801.9 thousands
c. Y =10.5-4.3*1+6.2*3000+15.5*1 = $ 18621.7 thousands
Management proposed the following regression model to predict sales at a fast-food outlet. y Po+ BBx, +B,x, +e wher...
Management proposed the following regression model to predict sales at a fast-food outlet. y Po + P, +B,+Bt,+e where number of competitors within one mile x,= population within one mile (1000s) lif drive-up window present O otherwise y= sales ($1000s) The following estimated regression equation was developed after 20 outlets were surveyed. =10.7-4.81 +6.1a2 +15.23 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...
Management proposed the following regression model to predict sales at fast food outlet. ? = ?0 + ?1?1 + ?2?2 + ?3?3 + ? where ?1 = ?????? ?? ??????????? ???ℎ??? ??? ???? ?2 = ?????????? ???ℎ?? ??? ????(1000?) ?3 = { 1 ?? ???? − ?? ?????? ??????? 0 ??ℎ?? ???? ? = ????? ($1000?) The following estimated regression equation was developed after 20 outlets were surveyed. ?̂ = 20.2 + 3.2?1 + 5.8?2 + 25.7?3 a. What is...
Suppose the sales (1000s of $) of a fast food restaurant are a linear function of the number of competing outlets within a 5 mile radius and the population (1000s of people) within a 1 mile radius. The regression equation quantifying this relation is (sales) = 1.814*(competitors) + 6.379*(population) + 13.837. What would you expect the sales (in 1000s of $) to be of a store that has 3 competitors and a population of 14 thousand people within a 1...
and x = 0. Substitute these values We determined the necessary values for the variables are x, = 2, into the given estimated regression equation. 9 = 10.8 - 4.2x + 6.8x2 + 15.8x3 - 10.8 - 4.2(2) + 6.8(8) + 15.80 ELE 1 This value represents the sales in $1,000s. Therefore, the value obtained from the regression equation must be multiplied by 1,000. Doing so gives a prediction of $ x in sales for a store with two competitors,...