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,

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