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: Rent = β₀ + β₁Bedroom + β₂Bath + β₃Sqft + ε. The following table shows a portion of the regression results. When testing whether the explanatory variables are jointly significant at the 5% level, she ________. A) rejects H₀, and concludes that the explanatory variables are jointly significant B) does not reject H₀, and concludes that the explanatory variables are jointly significant C) rejects H₀, and cannot conclude that the explanatory variables are jointly significant. D) does not reject H₀, and cannot conclude that the explanatory variables are jointly significant

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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: Rent = β₀ + β₁Bedroom + β₂Bath + β₃Sqft + ε. The following table shows a portion of the regression results. When testing whether the explanatory variables are jointly significant at the 5% level, she ________. A) rejects H₀, and concludes that the explanatory variables are jointly significant B) does not reject H₀, and concludes that the explanatory variables are jointly significant C) rejects H₀, and cannot conclude that the explanatory variables are jointly significant. D) does not reject H₀, and cannot conclude that the explanatory variables are jointly significant

A Real Estate Analyst Believes That the Three Main Factors