March 2014 Member Webinar: Multicollinearity

by Karen Grace-Martin

Multicollinearity isn’t an assumption of regression models; it’s a data issue.

And while it can be seriously problematic, more often it’s just a nuisance.

In this webinar, we’ll discuss:

  • What multicollinearity is and isn’t
  • What it does to your model and estimates
  • How to detect it
  • What to do about it, depending on how serious it is

Note: This webinar is an exclusive benefit for members of the Statistically Speaking Membership Program.

About the Instructor

Karen Grace-Martin helps statistics practitioners gain an intuitive understanding of how statistics is applied to real data in research studies.

She has guided and trained researchers through their statistical analysis for over 15 years as a statistical consultant at Cornell University and through The Analysis Factor. She has master’s degrees in both applied statistics and social psychology and is an expert in SPSS and SAS.

Not a Member Yet?

It’s never too late to join the hottest stats club around.

Just head over to our enrollment page to sign up for Statistically Speaking.

You’ll get exclusive access to this month’s webinar live, weekly live Q&A sessions, a private stats forum, 60+ recordings of past webinars (including this one), and more.

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