quesuon AU 2 pt! A real estate analyst believes that the three main factors that inuence 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 (3;, in 55), the number of bedrooms (331), the number of bathrooms (3:2), and its square footage (333). She estimates the following model as Rent 2 50 l l Bedroom l [32 Bath l ,83 Sq ft l a. The following ANOVA table shows a portion of the regression results. 5,694,717 1,343,176 7,037,893 hudard Error 84-0 1,898,239 37,310 U! M \"an 3.57 3.75 . l \" E? i E w? a? we 5 0: \"- _- - _- - _- _- mum: 222 The slope coefcient for Bedroom indicates that, holding other explanatory variables constant, ________ . for each additional bedroom the rent is predicted to increase by $300 for each additional bedroom the rent is predicted to increase by $226 for each additional bedroom the rent is predicted to increase by $0.20 for each additional bedroom the rent is predicted to increase by $89 Question 1 1 pts A multiple regression model is applied when analyzing the relationship between a dependent variable and: only one independent variable. only two independent variables. ' " more than two independent variables. ' " more than one independent variable. quest-Ion 4 1 The adjusted R2 accounts for the number of independent variables by _______ adding one to the R2 multiplying by the multiple standard error of the estimate using the degrees of freedom using a subscript for R2