A real estate agent wishes to estimate the monthly rental for apartments based on the size (square feet) and location of the apartments. She chose the model y = Bo + B1X, + ß>x2 +e, where x, represents the square footage of the apartment ane 1 if located in town center This linear regression model was fitted to a sample of size 50 to produce the regression equation below. Complete parts a through c. O if not located in town center y = 160 + 1.3x, + 300x2 a. Predict the average monthly rent for an apartment located in the town center that has 1,450 square feet. $ (Simplify your answer.)

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A real estate agent wishes to estimate the monthly rental for apartments based on the size (square feet) and location of the apartments. She chose the model y = Bo + B,x, + B2X, +ɛ, where x, represents the square footage of the apartment and
1 if located in town center
X2 =
. This linear regression model was fitted to a sample of size 50 to produce the regression equation below. Complete parts a through c.
O if not located in town center
y = 160 + 1.3x1 + 300x2
a. Predict the average monthly rent for an apartment located in the town center that has 1,450 square feet.
$
(Simplify your answer.)
Transcribed Image Text:*15.2.15 Tutoring Question Help ▼ A real estate agent wishes to estimate the monthly rental for apartments based on the size (square feet) and location of the apartments. She chose the model y = Bo + B,x, + B2X, +ɛ, where x, represents the square footage of the apartment and 1 if located in town center X2 = . This linear regression model was fitted to a sample of size 50 to produce the regression equation below. Complete parts a through c. O if not located in town center y = 160 + 1.3x1 + 300x2 a. Predict the average monthly rent for an apartment located in the town center that has 1,450 square feet. $ (Simplify your answer.)
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