1

1/10

Review

Review prerequisite topics

Ch. 1,2 of Sleuth, also Section 4.5.1 and 4.5.2 of Sleuth

Handout of past exam questions given in class

1. Review of t-test and ANOVA: Please complete and bring to 1/14 review session for discussion. (not to turn in)

2. Solutions sketches to review problems

3. Practice Problems

2

1/15

1/17

Review

ANOVA: Ch. 5 of Sleuth; skip sections 5.3.3, 5.5.2, 5.5.3

ANOVA: M&M, Ch. 12, p. 742-762

Overview of regression: M&M, Sections 2.1-2.3

1. ANOVA overview

2. regression overview

Mon. 1/14: Review of prereq. topics. LSRC A247, 6-8pm

Weds. 1/16: Quiz 1 (diagnostic) during lab

HW1 due 1/31 in class

HW1 Solutions (thanks to E.W.)

3

1/22

1/24

Simple Linear Regression

Ch. 7 of Sleuth

M&M, Sections 2.1-2.3 as well as Section 10.1.

Add/Drop Ends, Weds., 1/23

4

1/29

1/31

Assumptions for Simple Linear Regression

Ch 8 of Sleuth

M&M, Section 10.2

1. Simple Linear Regression, continued. Lecture notes

2. Supplement on the regression effect/fallacy.

3. Another good reference on the regression effect.

4. Handout on ecological correlation; see also link in HW1.

5. Least squares estimates, properties; CI's for mean, PI's, regression through origin

6. Calibration notes

5

2/5

2/7

Assumptions for Simple Linear Regression

Ch 8 of Sleuth

M&M, Section 10.2

1. Practice Problems for Quiz 2

2. Topics: Regression effect, ANOVA table for regression, Lack of Fit test, simultaneous inference

3. Lack of fit lecture notes

4. Check this out: an applet demonstrating how certain (X,Y) pairs may influence the regression line.

5. Example of 1-page student writeup for Problem 21, Chapter 8. We critiqued this writeup in class.

6. Plotting log-transformed data on their original scale in Splus

1. Weds. 2/6: Quiz 2 during lab. To cover material thru Ch 8, except 8.4 and 8.5.

2. HW2, due at class, Thursday, 2/14/02

6

2/12

2/14

Log transformations

Multiple Regression

Ch 8, 9 of Sleuth

1. Course outline through Chapter 10

2. Agenda for 2/13 Lab

3. Intro to multiple regression

Week

Date

Topics

Reading

Handouts

Due Dates

7

2/19

2/21

Midterm Exam

Guest Lecture

Ch 9 of Sleuth

1. Practice problems for Midterm Exam

2. Lab Agenda for 2/20/02: Regression with Indicator Variables

Midterm Exam 2/19 in class

8

2/26

2/28

Regression with indicator variables

Inferential tools

Ch 9 of Sleuth

Ch 10 of Sleuth

M&M, Ch 11

1. Handout of Splus output for 3 models of pollen removal

2. Lab Agenda for 2/27/02

3. Handout on polynomial regression models

4. Paper using polynomial and simple linear regression, "Climate change in non-traditional datasets". Look under "McBride" in E-reserves.

5. What is the Nenana Ice Classic?

HW3 due 2/28 in class (or to my office by 5pm 3/4)

9

3/5

3/7

Inferential tools

Ch 10 of Sleuth

M&M, Ch 11

Lab Agenda for 3/6/02

Homework 4

10

3/12

3/14

Spring Break

11

3/19

3/21

Case influence diagnostics

Strategies for variable selection

Chapter 11 of Sleuth

Ch 12 of Sleuth, also material on adjusted R2 from Ch10, as well as partial residual plots from Ch11.

Lab Agenda for 3/20

Take home midterm (includes quiz on CourseInfo) available Wednesday, 3/20 at 5pm.

12

3/26

3/28

Strategies for variable selection

Ch 12 of Sleuth

Lab Agenda for 3/27/02

Take home midterm due Friday 3/29 at 5pm

13

4/2

4/4

Comparisons of proportions or odds; Tools for tables of counts

4/4: MP Presentations - No Class

Ch. 18, 19 of Sleuth

M&M, 5.1, 8.1, 8.2, 9.1, 9.2

14

4/9

4/11

Finish model selection, validation

Logistic Regression

Ch. 20 of Sleuth

M&M, p. 730-731

Lab Agenda for 4/10

Optional Homework 5 due 4/22 at 5pm; includes critique of MP presentations

15

4/16

4/18

Finish logistic regression

CART models

Ch. 21 of Sleuth

Project Presentations Wednesday, 4/17, 4-8pm, A156. These comments on last year's posters may be useful as you prepare your poster.

16

4/23

4/25

Reading Week

17

4/29

Final Exam: Monday, 4/29, 9am-12pm, location to be announced. There are no alternative dates for the final exam and no self-scheduling.