The following estimated regression equation has been proposed to predict sales at a fast food outlet. ý = 51 – 5X, + 25X, + 12X3 where X₁ = competitor's previous day's sales (in $1,000s) x₂ = population within 1 mile (in 1,000s) x3 = 1 if radio advertising was used; 0 otherwise ŷ estimated sales (in $1,000s) Predict sales (in dollars) for the store with the competitor's previous day's sale of $6,000, a population of 29,000 within 1 mile, and five radio advertisements. $695111 X Need Help? Read It

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
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ISBN:9780079039897
Author:Carter
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Chapter4: Equations Of Linear Functions
Section4.6: Regression And Median-fit Lines
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The following estimated regression equation has been proposed to predict sales at a fast food outlet.
ŷ = 51 - 5x₁ + 25x₂ + 12x3
1
where
1
57°F
Cloudy
f1
x₂ = population within 1 mile (in 1,000s)
X2
Q
X₁
Predict sales (in dollars) for the store with the competitor's previous day's sale of $6,000, a population of 29,000 within 1 mile, and five radio advertisements.
$695111
?
1
x3 =
= 1 if radio advertising was used; 0 otherwise
ý = estimated sales (in $1,000s)
Need Help? Read It
competitor's previous day's sales (in $1,000s)
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Transcribed Image Text:The following estimated regression equation has been proposed to predict sales at a fast food outlet. ŷ = 51 - 5x₁ + 25x₂ + 12x3 1 where 1 57°F Cloudy f1 x₂ = population within 1 mile (in 1,000s) X2 Q X₁ Predict sales (in dollars) for the store with the competitor's previous day's sale of $6,000, a population of 29,000 within 1 mile, and five radio advertisements. $695111 ? 1 x3 = = 1 if radio advertising was used; 0 otherwise ý = estimated sales (in $1,000s) Need Help? Read It competitor's previous day's sales (in $1,000s) f2 2 J f3 # 3 BLOWE E f4 ***** $ 4 R f5 0 40 do 5 f6 4- T 6 f7 2 ♫+ & Y RE fg 7 Ⓒ DDI * hp fg U DII 8 f10 9 fin Ö 01 f12 insert 2 SUPER prt sc [
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