Q1: Develop a full regression model based on all the predictor variables indicated. Choose the right model equation below

A. Assessed Value = 246.42+43.94*(Size) + 15.69*(Fireplace Coded)+8.25*(Bedrooms) B. Asking Price = 246.42+43.94*(Size) + 15.69*(Fireplace Coded)+8.25*(Bedrooms)

C. Assessed Value = 246.42+43.94*(Size) + 15.69*(Fireplace Coded)+0.9677*(Bathrooms) D. Assessed Value = 244.4325 + 43.5532*(Size)+ 8.1910*(Bedrooms)+ 0.9677*(Bathrooms)

Q2. A review of the t-test on the significance of individual independent variable suggests that, based on the p-values

A. Only one of the independent variable possibly needs to be retained B. Two of the independent variables possibly needs to be retained C. None of the independent variables could be retained D. Three of the independent variables could be retained

Q3:

Choose the right option below. Based on the full regression model involving all of the independent variables

A. VIF for Size = 2.336, VIF for Fireplace = 1.121, VIF for bedrooms = 1.979

B. VIF for Size = 5.3352, VIF for Fireplace = 10.1873, VIF for bedrooms = 2.7885

C. VIF for Fireplace = 1.1873, VIF for bedrooms = 1.9885

D. None of the above

Q4: Based on VIF values, there is concern for collinearity in this dataset

A. True B. False

Q5:

Based on the normal probability plot, the normality assumption seems to be met

A. True

B. False

Q:7: Based on conducting residual analysis the model seems

Group of answer choices

Adequate

Inadequate

Violates Independence Assumption

Not enough information to assess the LINE assumptions