A Realtor in Massachusetts is analyzing the relationship between the sale price of a home (in $), it's the square footage (in ft2), the number of bedrooms, the number of bathrooms, and a colonial dummy variable (colonial equals 1 if a colonial-style home; 0 otherwise). The relater collects data of 36 sales in Massachusetts for analysis. The attached file “quiz_dataset1” contains the data. Build a parsimonious linear regression model. Use the model to predict the price of a 2100 ft2 colonial style home with two bedrooms and two bathrooms. Select one: a. 570268.3 b. 554347.1 c. 535347.1 d. None of the above
A Realtor in Massachusetts is analyzing the relationship between the sale price of a home (in $), it's the square footage (in ft2), the number of bedrooms, the number of bathrooms, and a colonial dummy variable (colonial equals 1 if a colonial-style home; 0 otherwise). The relater collects data of 36 sales in Massachusetts for analysis. The attached file “quiz_dataset1” contains the data. Build a parsimonious linear regression model. Use the model to predict the price of a 2100 ft2 colonial style home with two bedrooms and two bathrooms. Select one: a. 570268.3 b. 554347.1 c. 535347.1 d. None of the above
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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A Realtor in Massachusetts is analyzing the relationship between the sale price of a home (in $), it's the square footage (in ft2), the number of bedrooms, the number of bathrooms, and a colonial dummy variable (colonial equals 1 if a colonial-style home; 0 otherwise). The relater collects data of 36 sales in Massachusetts for analysis. The attached file “quiz_dataset1” contains the data.
Build a parsimonious linear regression model. Use the model to predict the price of a 2100 ft2 colonial style home with two bedrooms and two bathrooms.
Select one:
a. 570268.3
b. 554347.1
c. 535347.1
d. None of the above
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