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I have run a Poisson glm and I want to test for multicollinearity in my data. I have used the vif in R and obtained the following result. How can I interpret this?

 GVIF Df GVIF^(1/(2*Df))

make    1.083927  1        1.041118
cc      1.093900  1        1.045897
area    1.113460  3        1.018073
insgen  1.029887  1        1.014834
insage  2.484052  2        1.255423
ageveh  1.067675  1        1.033284
marital 2.369840  1        1.539428
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  • $\begingroup$ Often, a rule-of-thumb is stated that the VIF should not exceed 5 or 10. These rules have to be adopted with caution, however. There are other measures of multicollinearity, see here and here. $\endgroup$
    – COOLSerdash
    Feb 26, 2014 at 8:51
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    $\begingroup$ The same issue is discussed here with some more conclusions: stats.stackexchange.com/questions/70679/… $\endgroup$
    – MsGISRocker
    May 6, 2014 at 12:07
  • $\begingroup$ I have the same question! Could someone ask? Tks $\endgroup$
    – user66928
    Jan 19, 2015 at 11:02

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