Multicollinearity Training Seminar
Learn best practices for finding and fixing issues caused by multicollinearity in regression models
You may have felt it: the fear that you’ve got multicollinearity in your regression model and you don’t realize it.
You’ve heard about its dangers in statistics classes.
Colleagues and journal reviews question your results because of it.
Let’s clear up multicollinearity once and for all…
I’m Karen Grace-Martin, your instructor.
Multicollinearity isn’t an assumption of regression models; it’s a data issue. And while it can be seriously problematic, it’s just as often a nuisance.
Karen Grace-Martin MA, MA
In this live, online seminar, 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
- And more!
Who is this for?
This seminar is for researchers like you!
Multicollinearity is essential knowledge if you’re running regression models.
The seminar is crafted for researchers and analysts conducting statistical analyses for research studies, but it also applies to data scientists, students and educators, business and policy analysts, and healthcare professionals.
Multicollinearity is a Stage 2 topic and part of mastering linear regression, which is necessary to build a strong foundation for advanced statistics.
How Does It Work?
In this seminar, we’re digging deeply into one topic. Learn it in one afternoon.
Details:
- Location: Watch the pre-recorded session whenever it works for you
- Length: 1.5 hours
- Instructor: Karen Grace-Martin
- Stage: 2 Linear Models
- Pathway Step: 12 Check and Resolve Data Issues
During the seminar, you’ll learn the core concept of multicollinearity and its impact on regression models. You’ll learn best practices to detect it (it’s not just high correlation) and what to do about it.
About Your Instructor
Hi, I’m Karen Grace-Martin, your instructor.
As founder of The Analysis Factor, I’ve been supporting researchers like you through their statistical planning, analysis, and interpretation since 1997.
My goal is to help you improve your statistical literacy so you can bring your important research results into the light with confidence.
Karen Grace-Martin MA, MA
Your Satisfaction Is Guaranteed
As with all of our programs, your satisfaction is guaranteed. Your registration fee is fully refundable for up to 30 days after purchase. If you participate fully in the tutorial – watch, read, and try out what is included – and find you are not satisfied, we will give you a full refund. Just notify us within 30 days of purchasing the program.