The following estimated regression equation has been proposed to predict sales at a fast food outlet. ŷ= 51 - 5x₁ + 25x₂ + 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. $758 X Need Help? Read It

Calculus For The Life Sciences
2nd Edition
ISBN:9780321964038
Author:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.
Publisher:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.
Chapter1: Functions
Section1.1: Lines And Linear Functions
Problem 72E: LIFE SCIENCE APPLICATIONS HIV Infection The time interval between a persons initial infection with...
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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
where
f1
1
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.
$758
X
?
x₁ = competitor's previous day's sales (in $1,000s)
X1
Need Help? Read It
Q
x₂ = population within 1 mile (in 1,000s)
X3
= 1 if radio advertising was used; 0 otherwise
ý = estimated sales (in $1,000s)
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Transcribed Image Text:esc The following estimated regression equation has been proposed to predict sales at a fast food outlet. ŷ = 51 - 5x₁ + 25x₂ + 12x3 where f1 1 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. $758 X ? x₁ = competitor's previous day's sales (in $1,000s) X1 Need Help? Read It Q x₂ = population within 1 mile (in 1,000s) X3 = 1 if radio advertising was used; 0 otherwise ý = estimated sales (in $1,000s) @ f2 2 * W f3 # * 3 E f4 ***** A $ 4 R f5 40 do O 5 f6 T 4- A 6 f7 ♫+ Y C & 7 fg KAA U * fg 8 hp DII f10 o DDI 9 f11 O f12. insert P prt sc + [ } K ] delete backspa
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