|
Variables
|
Tolerance
|
VIF
|
|---|
|
MT
0
|
0.02
|
51.02
|
|
MT
1
|
0.02
|
25.26
|
|
MT
2
|
0.02
|
47.61
|
|
MT
3
|
0.03
|
39.79
|
|
MaxT
0
|
0.04
|
24.24
|
|
MaxT
1
|
0.03
|
38.42
|
|
MaxT
2
|
0.03
|
37.78
|
|
MaxT
3
|
0.05
|
22.01
|
|
MinT
0
|
0.07
|
14.88
|
|
MinT
1
|
0.06
|
15.71
|
|
MinT
2
|
0.07
|
13.95
|
|
MinT
3
|
0.07
|
14.49
|
|
R
0
|
0.48
|
2.08
|
|
R
1
|
0.41
|
2.43
|
|
R
2
|
0.42
|
2.39
|
|
N
1
|
0.17
|
5.77
|
|
N
2
|
0.11
|
8.98
|
|
N
3
|
0.17
|
5.93
|
- VIF: variance inflation factors for individual variables. Tolerances and VIF are co-linearity statistics that measure the strength of the interrelationships among the variables incorporated into the model for variable selection. If a variable is very closely related to other variables, then the tolerance goes to 0, and the VIF gets very large.
