Diff for "HLPMiniCourseSession1"

Differences between revisions 1 and 4 (spanning 3 versions)

Session 1: Linear regression

May 29 2008

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

Assignments

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))).

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-== Session 0:  Basics ==
Understanding of this material will be assumed throughout the course.  Please read these introductory materials and make sure you understand them before beginning the readings for the first session.
+#acl HlpLabGroup:read,write,delete,revert All:read
#format wiki
#language en
#pragma section-numbers 4
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-If there is sufficient interest, a short primer on using R will be offered during the first week of the course (somewhere between May 26 and May 30).  If you're interested in this, or if you have requests on what to cover during the primer, please write to AustinFrank.
+== Session 1:  Linear regression ==
'''May 29 2008'''
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-|| Baa08 || Chapter 1 (pp. 1-20) ||  Intro to R. ||
|| G&H07 || Chapter 2 (pp. 13-26) ||  Intro to probability theory.||
|| Dal04 || ??? || ??? ||
+|| 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 ||

=== Assignments ===
|| 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))).