Session 1: Linear regression

May 29 2008

This session will cover the basics of linear regression. See below for a [self list of topics].

Reading

G&H07

Chapter 3 (pp. 29-49)

Linear regression: the basics

Baa08

Section 4.3.2 (pp. 91 - 105)

Functional relations: linear regression

Sections 6 - 6.2.1 (pp. 181-198)

Regression Modeling (Introduction and Ordinary Least Squares Regression)

Section 6.6 (pp. 258-259)

General considerations

Notes on the readings

Additional terminology

Feel free to add terms you want clarified in class:

Questions

Assignments

Send your solutions to Andrew Watts, who will upload them here. Please send them by Friday 3:30pm.

G&H07

Section 3.9 (pp. 50-51)

Exercises 3 and 5

Baa08

Section 4.7 (p. 126)

Exercises 3 and 7*

* (for Exercise 7, Baayen treats linear regression using lm or ols as the same as analysis of covariance (see section 4.4.1 (pp. 117-119))).

Suggested topics

If you have any material that you would like to cover that isn't included in the list below, please make note of it here.

Topics

Interacting with R and R files

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