The Analysis Factor Tele-training #1:

Correlated Predictors in Linear Regression: How to Detect and What to Do about Multicollinearity

During this tele-training, Karen Grace-Martin covered one of the most exasperating topics in linear regression—Multicollinearity.

Karen talked about the nuts and bolts of:

  • What Multicollinearity is and what it is not
  • Why true Multicollinearity is not the big problem your statistics professor made it out to be, and the few situations when it is
  • Why correlation among predictors is not a good way to detect Multicollinearity and what is
  • Your options for dealing with it

The recording is free, but you must register.

As a bonus, you will also receive our monthly newsletter, StatWise.

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