Probability & Statistics · Statistics
Regression
Fitting a line by least squares: slope and intercept formulas, residuals, R², interpreting coefficients, multiple regression and controls, regression to the mean, and the assumptions that break it.
Step 1 of 5 · Overview30 min read ·
Key idea
Prereqs: Descriptive statistics; hypothesis tests. Next: Correlation vs causation; optimization for ML. Sources: Gelman, Hill & Vehtari, *Regression and Other Stories* (2020); OpenStax *Introductory Statistics* ch. 12; Crash Course Statistics #32.Next: 1. Least squares