Multiple linear regression
Use several inputs, interpret encoded coefficients and examine correlated predictors.
Helpful prior knowledge: Read a fitted line · Encode categories without inventing order. These links are guidance, not locks.
Follow teaches the idea; Change asks you to make a choice; Transfer changes the context. Apply, reviews and checkpoints appear where the existing lessons provide them. Go Further lessons are optional.
Lessons in this model deck
Start with the first core lesson →
Several predictors, conditional comparisons
Interpret one input while holding others fixed.
25–40 min · 4 practicesRead coefficients after encoding
Align coefficients with encoded feature names and a reference category.
12–18 min · 3 practicesCorrelated predictors and unstable coefficients
Separate coefficient stability from predictive stability.
12–18 min · 3 practices