GLM Part 5: Multivariate General Linear Models: Conditioning and Controlling

Learning Objectives: #1. Understand the three reasons we’d want multiple regression #2. Understand multicollinearity and why it’s a problem #3. Understand what conditioning is conceptually #4. Understand how residualizing relates to conditioning #5. The danger in doing multivariate GLMs with p-values #6. How to avoid the p-value danger #7. Map “control” language into parameter estimates Limitations of "controlling": https://www.youtube.com/watch?v=AIiNaNX4Tlg&list=PL8F480DgtpW_eIP05HQpP4VDqlFxnp8pv&index=12&t=3s