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 = β₀ + β₁Bedroom + β₂Bath + β₃Sqft + ε. The following ANOVA table shows a portion of the regression results. The slope coefficient for Bedroom indicates that, holding other explanatory variables constant, ________. A) for each additional bedroom the rent is predicted to increase by $226 B) for each additional bedroom the rent is predicted to increase by $89 C) for each additional bedroom the rent is predicted to increase by $300 D) for each additional bedroom the rent is predicted to increase by $0.20

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The Answer of 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 = β₀ + β₁Bedroom + β₂Bath + β₃Sqft + ε. The following ANOVA table shows a portion of the regression results. The slope coefficient for Bedroom indicates that, holding other explanatory variables constant, ________. A) for each additional bedroom the rent is predicted to increase by $226 B) for each additional bedroom the rent is predicted to increase by $89 C) for each additional bedroom the rent is predicted to increase by $300 D) for each additional bedroom the rent is predicted to increase by $0.20

A Real Estate Analyst Believes That the Three Main Factors