Hi everyone,
Using "vif" post command after running multiple regression, I got the following results. BQ6 has a collinearity issue as evidenced by VIF>10. The variable consists of 4 values (1. less than HS (dropped as a reference group), 2. High school, 3. Completed college, and 4. Master's or higher ). I wonder to know what other variable(s) was it having collinearity issues with.
Variable | VIF 1/VIF
-------------+----------------------
2.BQ4 | 1.05 0.952204
2.BQ5 | 1.04 0.963127
BQ1 | 1.79 0.557337
BQ2 | 2.09 0.478058
Race |
2 | 1.61 0.620598
3 | 1.60 0.623941
BQ6 |
2 | 45.05 0.022197
3 | 48.43 0.020648
4 | 37.15 0.026916
BQ8 |
2 | 3.14 0.318416
3 | 2.89 0.346453
4 | 1.90 0.526731
5 | 1.44 0.692263
6 | 1.48 0.673475
BQ7 |
2 | 4.21 0.237636
3 | 4.22 0.237034
ADLs | 1.04 0.958927
BQ10 |
2 | 8.93 0.112034
3 | 1.60 0.623209
4 | 3.09 0.323495
5 | 3.16 0.316035
6 | 2.16 0.461970
7 | 1.40 0.713047
8 | 2.06 0.486425
9 | 1.79 0.558172
10 | 1.71 0.585457
-------------+----------------------
Mean VIF | 7.16
0 Response to VIF interpretation
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