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Credit

Overview

Exercise 1 Review of statistical methods

Exercise 2 Introduction to fitting linear models

Exercise 3 Simple (ordinary) linear regression model for a continuous variable

Exercise 4 Multiple regression model - numeric covariates

Exercise 5 Multiple regression model - additive model

Exercise 6 Interactions, transformations, hierarchy

Exercise 7 Model assumptions and graphical diagnostic tools

Exercise 8 Statistical inference in a normal linear model

Exercise 9 Tools for dealing with violation of the assumptions

Exercise 10 Heteroscedastic model

Exercise 11 Generalized linear model and nonlinear regression model

Exercise 12 Outlying observations and leverage points

Exercise 13 ?