11. Assumptions, diagnostics, and model evaluation

11.1 Assumptions of regression analysis

11.2 Plotting the data and fitted model

11.3 Residual plots

11.4 Comparing data to replications from a fitted model

11.5 Example: predictive simulation to check the fit of a time-series model

11.6 Residual standard deviation σ and explained variance R²

11.7 External validation: checking fitted model on new data

11.8 Cross validation

11.9 Bibliographic note

11.10 Exercises