\f\f\fQuestion 1 9 pts Fit the regression models described below, and report each value of R?L. Dependent Independent variable Variables Model name i all ten other variables full.hospital | InfctRsk . [ Select ] ~ in the data set only Stay, Culture, Xray, and Facilities vard.hospital| InfctRsk [ Select] b only Stay, Culture, and Xray var3.hospital| InfctRsk [Select] v Perform a Partial-F test to compare the model var3.hospital to var4.hospital. o What is the test statistic? [ Select ] v o What is the p-value? [ Select] v Can you conclude that Facilities contributes significantly to the model at the .01 level? [ Select ] v Perform a Partial-F test to compare the model var4.hospital to full.hospital. o What is the test statistic? [ Select] o What is the p-value? [ Select] Can you conclude that the additional variables in full.hospital contribute significantly to the model at the .01 level? [ Select ] v Perform forward selection on the data set, using p_val=.05 . Which variable(s) are selected by this procedure in the Final Model Output? (Categorical variables are only listed once below.) Stay Age Culture Xray Beds MedSchool Region Census Nurses O 0o 0o o o o o o o o Facilities Perform backward selection on the data set, using p_val=.25 . Which variable(s) are selected by this procedure in the Final Model Output? (Categorical variables are only listed once below.) Stay Age Culture Xray Beds Region Census Nurses O O O O O () MedSchool O O O O Facilities Perform backward selection on the data set, using p_val=.25 . Which variable(s) are selected by this procedure in the Final Model Output? (Categorical variables are only listed once below.) Stay Age Culture Xray Beds Region Census Nurses O O O O O () MedSchool O O O O Facilities Question 4 5 pts Perform best subsets regression on the data set. (NOTE: This command will take some time to execute. Expect a wait time of up to 1-2 minutes, depending on the speed of your computer processor.) The model with [ Select] predictors has the highest value of R2 = [ Select] ~ . But, there are models with fewer variables that achieve similar results. The best model with 3 predictory v [ Select] ' contain the same variables used in the model does var3.hospital from Question 1. does not The best model with 4 predictors [ Select] ~ contain the same variables used in the model vard.hospital from Question 1. The best model with 5 predictors [ Select] ~ contain the same variables used in the forward selection model from Question 2. Question 4 5 pts Perform best subsets regression on the data set. (NOTE: This command will take some time to execute. Expect a wait time of up to 1-2 minutes, depending on the speed of your computer processor.) The model with [ Select] predictors has the highest value of R2 = [ Select] ~ . But, there are models with fewer variables that achieve similar results. The best model with 3 predictory v [ Select] ' contain the same variables used in the model does var3.hospital from Question 1. does not The best model with 4 predictors [ Select] ~ contain the same variables used in the model vard.hospital from Question 1. The best model with 5 predictors [ Select] ~ contain the same variables used in the forward selection model from Question 2. Question 4 5 pts Perform best subsets regression on the data set. (NOTE: This command will take some time to execute. Expect a wait time of up to 1-2 minutes, depending on the speed of your computer processor.) The model with [ Select] ~ predictors has the highest value of R2 = v [ Select] . But, there are models with fewer variables that achieve similar results. 0.5854 0.5403 0.4814 ors [Select] contain the same variables used in the model 0.7121 0.559 The best model with 4 predictors [ Select] contain the same variables used in the model vard.hospital from Question 1. The best model with 5 predictors [ Select] ~ contain the same variables used in the forward selection model from Question 2. Perform best subsets regression on the data set. (NOTE: This command will take some time to execute. Expect a wait time of up to 1-2 minutes, depending on the speed of your computer processor.) The model with