A retail store's sales forecast is based on the number of households nearby and store location. The estimated regression

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A retail store's sales forecast is based on the number of
households nearby and store location. The estimated regression
equation is:
y-hat = 21.84 + 0.87(x1) - 6.86(x2) +
21.51(x3)
where: y = Weekly sales ($1000's)
x1 = Number of households (in 1000's) near
the store
x2 = 1 if store is located on a suburban
street
x3 = 1 if store is located in a shopping
mall
(x2 and x3 = 0 if store
located in city's downtown)
1 -Referring to the regression equation above, the correct
interpretation of b2 is:
Group of answer choices
For each additional store on a suburban street, there are 6.86
fewer downtown stores.
For each additional store on a suburban street, weekly sales is
expected to decrease by $6,860.
Weekly sales for a store on a suburban street is expected to be
$6,860 less than a downtown store.
Weekly sales for a downtown store is expected to be $6,860 less
than a store on a suburban street.
2)
Referring to the regression equation above, the correct
interpretation of b3 is:
Group of answer choices
For each additional store in a shopping mall, there are 21.51
more downtown stores.
Weekly sales for a store in a shopping mall is expected to be
$21,510 more than a downtown store.
For each additional store in a shopping mall, weekly sales is
expected to increase by $21,510.
Weekly sales for a downtown store is expected to be $21,510 more
than a store in a shopping mail.
3-
Referring to the regression equation above, how much more is
expected weekly sales (in $1000s) for a store located in a shopping
mall than a store located on a suburban street?
Group of answer choices
28.37
6.86
21.51
14.65
4 -
Referring to the regression equation above, estimate the weekly
sales for a store located on a suburban street with 250,000
households nearby.
Group of answer choices
$232,480
$217,515
$239,340
$253,990