Is this Multicollinearity?

#1
Hi guys, im relatively new in this forum. I have a question, i am using multiple regression analysis for my thesis. The result shows the P-value is less than 0.05 (regression model significant) but the VIF value of some depend factor is over 10. Is is Multicollinearity? Will i be able to use this model to predict independent? Is there any reference?
 

hlsmith

Omega Contributor
#2
above 10 is fairly high. MC does not effect model estimates but can blow out their SE. there are options such as dropping one of the variables.
 
#5
In the first regression model, I have 6 factor and all of them are over 0.05, there is only 2 factors with VIF less than 10. F test shows that its not significant

In the second regression model, i have 6 factors and all of them are less than 0.05, there is only 3 factors with VIF less than 10. F test shows that its significant.

I have not done tolerance test fyi.
 

rogojel

TS Contributor
#6
In the first regression model, I have 6 factor and all of them are over 0.05, there is only 2 factors with VIF less than 10. F test shows that its not significant
In this case it might happen that some of the factors are significant but you miss it because the confidence intervals are inflated, so the large VIF could be a problem.

In the second regression model, i have 6 factors and all of them are less than 0.05, there is only 3 factors with VIF less than 10. F test shows that its significant.
If the factors are significant even though the CFs are inflated you do not need to worry about the VIFs.

regards
 
#7
Thanks Rogojel for the fast reply, i think the same way too . Could you recommend be some journals or book to backup the statement. That would surely help alot.