TB MC Qu. 14-99 (Alan) A real estate analyst believes that... 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 (1/, in $). the number of bedrooms {X1}. the number of bathrooms #2}. and its square footage (1'31. She estimates the following model as Rent: .33 + 1 Bedroom + #2 Bath + .63 Sqft + E. The following ANOVA J table shows a portion of the regression results. df SS HS F Regression 3 5,894, 719 1,898,239.? 59.88 \" \"E. 3- 2 6-9639 "E_ 9-1182 Soft \"n 6-9275 The standard deviation of the difference between actual rent and the estimated rent is Multiple Choice 0 193.16 Coefficients Standard Error t-stat p-IraIue -zr-_ Bedroom 5?. 6 3. 59 B. 8908 Bath 111 58. 1 1.91 B. 1132 Sqft 0.1 9.05 2 0.6275 The slope coefficient for Bedroom indicates that. holding other explanatory variables constant. Multiple Choice 0 for each additional bedroom the rent is predicted to increase by $320 for each additional bedroom the rent is predicted to increase by $0.10 0 for each additional bedroom the rent is predicted to increase by $20? 0 for each additional bedroom the rent is predicted to increase by $111 TB MC Qu. 14-97 (M90) A real estate analyst believes that... 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 (1/, in $l. the number of bedrooms {X1}. the number of bathrooms #2}. and its square footage (1'31. She estimates the following model as Rent = g + 31 Bedroom + {32 Bath + |B3 Sqft + E. The following ANOVA 9 table shows a portion of the regression results. df SS HS F Regression 5. 694, 719 1, 898. 249 5B. 88 -_' -__ -a- n_ _'E- The slope coefcient for Bedroom indicates that. holding other explanatory variables constant. Multiple Choice 0 for each additional bedroom the rent is predicted to increase by $320 Coefficients Standard Error t-stat p-value Intercept 320 100 3.2 0. 0030 Bedroom 207 57.6 3.59 0. 0008 Bath 111 58. 1 1.91 0. 1182 Saft 0.1 0. 05 2 0. 0275 The standard deviation of the difference between actual rent and the estimated rent is Multiple Choice O 193.16 O 40.12 O 37,310 O 50.88