Timeline for Multivariate Regression on Multicollinear Categorical Variables
Current License: CC BY-SA 3.0
6 events
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| May 23, 2017 at 12:39 | history | edited | CommunityBot |
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| Oct 24, 2014 at 1:10 | history | migrated | from stackoverflow.com (revisions) | ||
| Oct 23, 2014 at 18:09 | comment | added | user3708129 | Indeed you are correct, I should have posted to CrossValidated for this issue. However, the vif() function has been very helpful at identifying 3 potential collinear variables. I have approached this with Option 3, and have removed the two collinear variables which were of least importance | |
| Oct 23, 2014 at 17:47 | comment | added | DWin | Strategy 1 is not going to be helpful assessing or managing multicollinearity, although it is a step one should always perform and plotting methods are often very informative. The MC problem is in the joint relationship among the predictors, not with their relationship to the response. | |
| Oct 23, 2014 at 17:40 | vote | accept | user3708129 | ||
| Oct 23, 2014 at 16:54 | history | answered | vagabond | CC BY-SA 3.0 |