Posted by
Swank, Paul R on
Aug 08, 2012; 2:42pm
URL: http://spssx-discussion.165.s1.nabble.com/Multicolinearity-tp5714614p5714627.html
It's not weird, as I suggested yesterday. It merely means that the effect of each variable on the outcome is diminished in the presence of high values on the other variable. It's why we study interactions in the first place, to see if the relation of one variable to the outcome varies as a function of another predictor. The answer simply is yes in this case.
Paul R. Swank, Ph.D.
Professor, Department of Pediatrics
Medical School
Adjunct Professor, Health Promotions and Behavioral Sciences
School of Public Health
University of Texas Health Science Center at Houston
-----Original Message-----
From: SPSSX(r) Discussion [mailto:
[hidden email]] On Behalf Of Almost Done
Sent: Wednesday, August 08, 2012 7:57 AM
To:
[hidden email]
Subject: Re: Multicolinearity.
Hey, all! So I did center the IV's and run another regression with centered IV's and their interaction. The multicolinearity went away (the VIF is slightly higher than one - 1.084). But the beta for the interaction term is still negative.That's very weird. Although the relevance IV is not significant (which it shouldn't be in theory).
--
View this message in context:
http://spssx-discussion.1045642.n5.nabble.com/Multicolinearity-tp5714614p5714623.htmlSent from the SPSSX Discussion mailing list archive at Nabble.com.
=====================
To manage your subscription to SPSSX-L, send a message to
[hidden email] (not to SPSSX-L), with no body text except the command. To leave the list, send the command SIGNOFF SPSSX-L For a list of commands to manage subscriptions, send the command INFO REFCARD
=====================
To manage your subscription to SPSSX-L, send a message to
[hidden email] (not to SPSSX-L), with no body text except the
command. To leave the list, send the command
SIGNOFF SPSSX-L
For a list of commands to manage subscriptions, send the command
INFO REFCARD