Part 5 | Multivariate GLM
> models with multiple predictorsIn Part 4 we developed the basics of linear models, extending the hypothesis testing framework to slopes. In Part 5 we extend this same framework one step further. We'll develop models of relationships that vary across groups, effects that depend on context, and unobserved factors that confound your analysis. You'll learn advanced techniques like numerical controls, categorical controls, interactions, and model selection that let you handle these complexities systematically.
Part 5.1 | Categorical/Numerical
Use fixed effects to control for unobserved group differences. Interpret coefficients in models with multiple categorical predictors.
Exercise 5.1 - Exercise 5.1 // Gender Wage Gap
Testing whether wages are different by gender
Homework 5.1 // Categorical Controls
Due on Friday November 21 at 5PM on Gradescope.
Part 5.2 | Interactions
Test whether the relationship between variables varies by group.
Part 5.2 // Interactions
Exercise 5.2 // Gender Wage Gap
Is the returns to education different by gender?
Part 5.3 | Numerical Controls
Control for related variables.
Concept 5.3 // Numerical Controls
Exercise 5.3 // Pittsburgh Housing Prices
MiniExam
MiniExam 5 will be held on Thursday December 4 and will cover everything in Part 5: numerical controls, categorical controls, interactions.