How to interpret output from vif function?

General
1

Hi!

I'm fitting av linear model and want to check if I have multicolinearity problems in my model. I know that some of variables are correlated. I wonder how to interpret the output from vif function?

lmWB <- lm(WB~On + SlTv + BukPlo + Lever + Acites + Tetth + Tpute + CV + Mnd + Aar + Forfirma + OppTid, data=MyoFullregsign)
vif(lmWB)
GVIF Df GVIF^(1/(2*Df))
On 1.094145 1 1.046014
SlTv 1.807780 1 1.344537
BukPlo 1.084611 1 1.041447
Lever 1.511473 1 1.229420
Acites 1.597773 1 1.264031
Tetth 1.379188 1 1.174388
Tpute 1.130663 1 1.063327
CV 1.608931 1 1.268436
Mnd 2.951734 11 1.050430
Aar 2.886564 3 1.193247
Forfirma 1.752203 7 1.040876
OppTid 1.115298 1 1.056077

Regards Marit

2

according to rdocumentation you may be asking about one of 119 different functions
https://www.rdocumentation.org/search?q=vif

3

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