(What to do) When Predictors Co-Vary

statistics
blog
Author

Dr. Joscelin Rocha-Hidalgo

Published

August 13, 2025

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By Mattan S. Ben-Shachar

Excerpt from blog: Co-varying predictors can be a messy business. They make estimates unstable, reducing our statistical power and making interpretation more difficult. In this post I will demonstrate how ignoring the presence of co-variation between predictors when exploring our models can lead to odd results and how we might deal with this issue.

  1. Link to blog here: https://shouldbewriting.netlify.app/posts/2020-08-11-when-predictors-covary/

Scatterplot showing the relationship between height (cm) and weight (kg), with each point representing an individual. Points are color-coded by age in years, ranging from blue (younger) to red (older), showing a general trend of increasing weight with height and age.

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