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S03 · Regression and Linear Models

A free, illustrated L2 course of 10 modules in the Statistics and Data Analysis track. Modules include: Simple linear regression; Multiple regression and its geometry; Inference for regression.

S03 L2 · Intermediate 10 modules · about 40 lessons Planned · Ring 3

Part of the Statistics and Data Analysis track. Ships in Ring 3 (Breadth) of the roadmap.

Modules

1. Simple linear regression
2. Multiple regression and its geometry
3. Inference for regression
4. Diagnostics and assumptions
5. Categorical predictors and interactions
6. Regularization: ridge, lasso and elastic net
7. Logistic regression
8. Generalized linear models
9. Mixed and hierarchical models
10. Splines and additive models

Signature illustrations

The pictures a learner should still see in their head a year later:

Gallery of residual plots, least squares as projection, lasso diamond beside ridge circle, link-function diagrams, shrinkage paths.

Status

This course is planned, not written yet. It ships with Ring 3 (Breadth).

Every lesson will follow the same twelve-part blueprint with at least three purpose-made figures. Watch the repository to hear when modules ship, or help write and review it.