Chapter self-assessment
Check the idea.
Not just the formula.
Work through original questions on interpretation, assumptions, diagnostics, applications, and code. Each chapter keeps your progress on this device.
- 14
- chapter quizzes
- 212
- reviewed questions
- 3
- difficulty levels
What changes when a model gains another regressor?
Quiz library
Four parts.
Fourteen checkpoints.
Start after reading a chapter, or return later for revision. The progress line on each card reflects checked questions on this device.
Questions and foundations
Chapters 1–4
Introduction
Research questions, design, causation, prediction, and data structures.
Covariation in data
Correlation, ranks, regression lines, residuals, and explained variation.
Probability and inference
Random variables, estimators, sampling distributions, tests, and intervals.
Population correlation
Sampling uncertainty, tests, Fisher transformation, and dependence.
Regression models
Chapters 5–9
Simple linear regression
Population models, OLS, uncertainty, robust inference, and interpretation.
Multiple regression
Partial effects, omitted variables, FWL, joint tests, and diagnostics.
Nonlinear form
Polynomials, categorical variables, logs, interactions, and model purpose.
Dependent errors
Clustering, multilevel structure, panel data, fixed effects, and missingness.
Binary outcomes
Linear probability, logit, odds, risks, likelihood, and GLMs.
Prediction and flexible methods
Chapters 10–12
Prediction
Test error, validation, regularisation, trees, and model comparison.
Nonparametric regression
Local averages, kernels, bandwidths, boundaries, and uncertainty.
Time series analysis
Stationarity, AR and MA models, unit roots, forecasting, and dynamics.