Management proposed the following regression model to predict sales at a fast-food outlet. y Bo+P +Bzs + Bzy +e where #1=number of competitors within one mile = population within one mile (1000s) 1 f...


Management proposed the following regression model to predict sales at a fast-food outlet.<br>y Bo+P +Bzs + Bzy +e<br>where<br>#1=number of competitors within one mile<br>= population within one mile (1000s)<br>1 f drive-up whdow present<br>0 otherwise<br>y= sales ($1000s)<br>The following estimated regression equation was developed after 20 outlets were surveyed.<br>ý = 10.2 – 4.7z + 6.9z + 15.1S<br>a. What is the expected amount of sales attributable to the drive-up window?<br>b. Predict sales for a store with two competitors, a population of 9,000 within one mile, and no drive-up window.<br>Estimate of sales = $<br>c. Predict sales for a store with one cormpetitor, a population of 3,000 within 1 mile, and a drive-up winndow.<br>Estimate of sales =$<br>

Extracted text: Management proposed the following regression model to predict sales at a fast-food outlet. y Bo+P +Bzs + Bzy +e where #1=number of competitors within one mile = population within one mile (1000s) 1 f drive-up whdow present 0 otherwise y= sales ($1000s) The following estimated regression equation was developed after 20 outlets were surveyed. ý = 10.2 – 4.7z + 6.9z + 15.1S 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 9,000 within one mile, and no drive-up window. Estimate of sales = $ c. Predict sales for a store with one cormpetitor, a population of 3,000 within 1 mile, and a drive-up winndow. Estimate of sales =$

Jun 09, 2022
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