**
Fill This Form To Receive Instant Help**

Homework answers / question archive / A tax assessor wishes to develop a model to be used for estimating the value of a home for determining property taxes

the value of a home for determining property taxes. A local real estate firm provided a data set (columns C6 thru C21 ) in a particular development area (location, location, location) containing the predictor variables:

Predictor Variables

1) Value: Most recently assessed home value (Y=Value)

2) Acreage: Area of lot in acres

2) stories: number of stories the home has

3) Area: Square footage

4) Exterior: 1=Exterior in excellent or good condition, 0=Exterior in average or poor condition.

5) NatGas: 1= has natural gas heat (the most desirable), 0 = other heating system

6) Rooms: total number of rooms

7) Bedrooms: Number of bedrooms

8) FullBath: number of full bathrooms

9) Halfbath: number of half bathrooms

10) Fireplace: 1=Yes 0 = No

11) Garage: 1=Yes 0=No

12) Area**2: Area of home squared

13) Acreage**2: Acreage of lot squared

14) Stories**2: number of stories the home has squared

15) Rooms**2: total number of rooms squared

A) Based on these Best Subsets results, use the various selection criteria discussed in class to recommend two or 3 potential models for further evaluation.

B) Discuss the limitations of this Best Subsets selection algorithm. Why shouldn't you just recommend a single model and be done with it?

C) Based on your potential models, and additional analysis, recommend a model. Discuss why you chose this particular model.