The independent variables for this model will be the size of the property in square feet, the number of bedrooms it has, the number of bathrooms it has, and its age. Use the accompanying data, which are from randomly selected rental properties, to complete parts a through d below.
Rental Bedrooms Age
Bathrooms Square Feet
875 2 12 1.5
1500
900 3 4 2
1900
900 2 16 1
1200
1090 3 14 1.5
1500
1175 3 12 1.5
1900
1250 5 11 1.5
2900
1400 3 5 3
2000
1400 4 9 2
2100
1500 3 8 2.5
1600
1600 3 7 2.5
1700
1700 4 12 2.5
2000
1800 4 7 2.5
2600
1900 4 20 2
2500
2000 4 5 2
2700
2000 4 9 3.5
2200
2200 5 5 2.5
3000
2300 6 12 5
3300
2500 4 10 3
2300
2600 4 5 4.5
2500
3000 4 14 4.5
2500
3200 5 11 6
2700
3500 4 10 2
3000
4000 5 11 4
3300
4500 4 9 4.5
2200
5000 5 5 5.5
3000
7000 6 15 5.5
3500
1475 3 6 1
2000
1900 3 18 2
1600
2250 5 3 2
2800
2300 5 11 2.5
2800
2525 4 10 2
2400
2700 3 8 1.5
1700
2700 3 5 2.5
1600
2800 4 12 2
2000
2900 4 15 4
2300
3000 3 13 1.5
1900
3000 4 9 3
2000
3400 4 13 3.5
2300
3600 4 11 2.5
2500
3700 4 6 3.5
2900
4000 4 11 3
2700
4300 5 9 3.5
3400
4700 5 3 2.5
3100
4900 5 11 2
2700
5000 3 9 3.5
1600
5200 5 17 4.5
2900
5700 5 17 4.5
3100
6000 6 4 5.5
3700
6500 5 12 5.5
2900
7000 4 9 4
2500
7200 6 17 3.5
3600
7600 4 13 3
2600
8000 5 14 4
3500
9000 6 22 5.5
3500
10000 5 18 4
2900
12900 5 11 5.5
3200
1300 2 16 1
1200
1700 3 11 2.5
1700
1800 3 16 2
1800
1900 3 11 1.5
2000
2000 4 9 2
2100
2100 4 7 2
2100
2200 4 11 2.5
2700
2400 4 5 4
2500
2800 4 7 2.5
2400
2900 4 13 3.5
2800
3000 4 11 2.5
2800
3200 4 12 2
2400
3400 4 7 3
2400
3500 5 8 2.5
2900
3600 5 11 2.5
3200
3700 5 15 2.5
3500
4000 4 11 2.5
2100
4100 4 20 3.5
2800
4250 5 9 2.5
3100
4500 5 2 3.5
3000
4500 5 12 2
3500
4500 4 14 3.5
2100
4800 5 2 4
2500
5000 5 10 4.5
3100
5400 6 15 5.5
3400
5770 5 11 5
3000
6000 5 1 5.5
3100
7800 4 13 3.5
2700
8000 5 13 5
3000
9000 5 16 5.5
3200
10500 6 22 4.5
3500
12000 4 2 4
2800
a.) find the variance inflation factor (VIF) for each
independent variable <-- how do I find this in excel
c.) Perform a best subsets regression and choose the most
appropriate model for these data.
b.) If multicollinearity is present, take the necessary steps to
eliminate it.
d.) Identify the regression equation for the model in part c.
y^=___+ (___)x2+(___)x3 + (___)x4
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