House price y is estimated as a function of the square footage of a house x, a dummy variable d that equals 1 if the house has ocean views and 0 otherwise; and a product of this dummy and the square footage xd. The estimated house price, measured in $1,000s, is given by 3 = 69 + 0.15x + 42d + 0.03xd. a. Compute the predicted price of a house with ocean views and square footage of 2,100 and 3,100, respectively. (Round your final answers to the nearest whole number.) Square Footage 2,100 24 thousand 3,100 %24 thousand b. Compute the predicted price of a house without ocean views and square footage of 2,100 and 3,100, respectively. (Round your final answers to the nearest whole number.) Square Footage 2,100 thousand 3,100 thousand c. Discuss the impact of ocean views on the house price. • As square footage increases, the price difference between houses with and without ocean views becomes larmer as well
House price y is estimated as a function of the square footage of a house x, a dummy variable d that equals 1 if the house has ocean views and 0 otherwise; and a product of this dummy and the square footage xd. The estimated house price, measured in $1,000s, is given by 3 = 69 + 0.15x + 42d + 0.03xd. a. Compute the predicted price of a house with ocean views and square footage of 2,100 and 3,100, respectively. (Round your final answers to the nearest whole number.) Square Footage 2,100 24 thousand 3,100 %24 thousand b. Compute the predicted price of a house without ocean views and square footage of 2,100 and 3,100, respectively. (Round your final answers to the nearest whole number.) Square Footage 2,100 thousand 3,100 thousand c. Discuss the impact of ocean views on the house price. • As square footage increases, the price difference between houses with and without ocean views becomes larmer as well
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question

Transcribed Image Text:House price y is estimated as a function of the square footage of a house x, a dummy variable d that equals
1 if the house has ocean views and 0 otherwise; and a product of this dummy and the square footage xd.
The estimated house price, measured in $1,000s, is given by 3 = 69 + 0.15x + 42d + 0.03xd.
a. Compute the predicted price of a house with ocean views and square footage of 2,100 and 3,100,
respectively. (Round your final answers to the nearest whole number.)
Square Footage
2,100
24
thousand
3,100
%24
thousand
b. Compute the predicted price of a house without ocean views and square footage of 2,100 and 3,100,
respectively. (Round your final answers to the nearest whole number.)
Square Footage
2,100
thousand
3,100
thousand
c. Discuss the impact of ocean views on the house price.
• As square footage increases, the price difference between houses with and without ocean views
becomes larmer as well
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