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A real estate analyst believes that the three main factors that influence an apartment's rent in a college town are the number of bedrooms, the number of bathrooms, and the apartment's square footage. For 40 apartments, she collects data on the rent (y, in $), the number of bedrooms (x1), the number of bathrooms (x2), and its square footage (x3). She estimates the following model as Rent = B0 + 81 Bedroom + 82 Bath + 83 sqft + e. The following ANOVA table shows a portion of the regression results. df MS 3 5,694,727 1,898,242 Regression 50.88 Residual 36 1,343,171 37,310 Total 39 7,037,898 Coefficients Standard Error t-stat p-value Intercept 308 110.0 2.8 0.0010 Bedroom 248 60.8 4.08 0.0007 Bath 92 53.9 1.71 0.1192 Sqft 0.1 0.05 2 0.0277 The slope coefficient for Bedroom indicates that, holding other explanatory variables constant,

A real estate analyst believes that the three main factors that influence an apartment's rent in a college town are the number of bedrooms, the number of bathrooms, and the apartment's square footage. For 40 apartments, she collects data on the rent (y, in $), the number of bedrooms (x1), the number of bathrooms (x2), and its square footage (x3). She estimates the following model as Rent = B0 + 81 Bedroom + 82 Bath + 83 sqft + e. The following ANOVA table shows a portion of the regression results. df MS 3 5,694,727 1,898,242 Regression 50.88 Residual 36 1,343,171 37,310 Total 39 7,037,898 Coefficients Standard Error t-stat p-value Intercept 308 110.0 2.8 0.0010 Bedroom 248 60.8 4.08 0.0007 Bath 92 53.9 1.71 0.1192 Sqft 0.1 0.05 2 0.0277 The slope coefficient for Bedroom indicates that, holding other explanatory variables constant,

MATLAB: An Introduction with Applications
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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Multiple Cholce for each additional bedroom the rent Is predicted to Increase by $248 for each additional bedroom the rent is predicted to Increase by $92 for each additional bedroom the rent is predicted to Increase by $308 for each additional bedroom the rent Is predicted to Increase by $0.10
Transcribed Image Text:Multiple Cholce for each additional bedroom the rent Is predicted to Increase by $248 for each additional bedroom the rent is predicted to Increase by $92 for each additional bedroom the rent is predicted to Increase by $308 for each additional bedroom the rent Is predicted to Increase by $0.10
A real estate analyst believes that the three main factors that influence an apartment's rent in a college town are the number of bedrooms, the number of bathrooms, and the apartment's square footage. For 40 apartments, she collects data on the rent (y, in $), the number of bedrooms (x1), the number of bathrooms (x2), and its square footage (x3). She estimates the following model as Rent = Bo + B1 Bedroom + 82 Bath + 83 Sqft + 2. The following ANOVA table shows a portion of the regression results. df MS Regression 3 5,694,727 1,898,242 50.88 Residual 36 1,343,171 37,310 Total 39 7,037,898 Coefficients Standard Error t-stat p-value Intercept 308 110.0 2.8 0.0010 Bedroom 248 60.8 4.08 0.0007 Bath 92 53.9 1.71 0.1192 Sqft 0.1 0.05 0.0277 The slope coefficient for Bedroom indicates that, holding other explanatory variables constant,
Transcribed Image Text:A real estate analyst believes that the three main factors that influence an apartment's rent in a college town are the number of bedrooms, the number of bathrooms, and the apartment's square footage. For 40 apartments, she collects data on the rent (y, in $), the number of bedrooms (x1), the number of bathrooms (x2), and its square footage (x3). She estimates the following model as Rent = Bo + B1 Bedroom + 82 Bath + 83 Sqft + 2. The following ANOVA table shows a portion of the regression results. df MS Regression 3 5,694,727 1,898,242 50.88 Residual 36 1,343,171 37,310 Total 39 7,037,898 Coefficients Standard Error t-stat p-value Intercept 308 110.0 2.8 0.0010 Bedroom 248 60.8 4.08 0.0007 Bath 92 53.9 1.71 0.1192 Sqft 0.1 0.05 0.0277 The slope coefficient for Bedroom indicates that, holding other explanatory variables constant,
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