The following regression model has been proposed to predict sales at a computer store:
y_(-)hat =50-3x_(1)+20x_(2)+10x_(3)
where
x_(1)=
competitor's previous day's sales (in
$1000
s)
x_(2)=
population within 1 mile (in 1000 s)
x_(3)=1
if any radio advertising was used and 0 otherwise.
y_()
hat
=
sales (in
$1000
s) Predict the change in sales (in dollars) when radio advertising was used, all else constant.

Question

The following regression model has been proposed to predict sales at a computer store:

y_(-)hat =50-3x_(1)+20x_(2)+10x_(3)

where

x_(1)=

competitor's previous day's sales (in

$1000

s)

x_(2)=

population within 1 mile (in 1000 s)

x_(3)=1

if any radio advertising was used and 0 otherwise.

y_()

hat

=

sales (in

$1000

s) Predict the change in sales (in dollars) when radio advertising was used, all else constant.

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