Stat 550 - Regression, Spring 2011

Instructor: Chris Williams, Room 414 Brink Hall Phone: 885-2802 or 885-2929

Meeting times: MWF 12:30-1:20 JEB 025

Prerequisites: Math 330 (Linear Algebra), Stat 451 (Probability), Coreq of Stat 452 (Mathematical Statistics) or equivalent coursework.

Office Hours: MWF 1:30-2:20 or by appointment.


Text: Applied Regression Analysis and Generalized Linear Models by John Fox.  Online appendices on linear algebra, probability, and mathematical statistics are available at:


The webpage will contain announcements, summaries of lectures, lists of assignments with due dates, and other information.

Objectives: Theory and application of regression models including linear, nonlinear, and generalized linear models. Topics include model specification, point and interval estimators, exact and asymptotic sampling distributions, tests of general linear hypotheses, prediction, influence, multicollinearity, assessment of model fit, and model selection.

Lecture Outline: We will cover chapters 5-17 in the text plus additional topics, to be detailed in the lecture schedule.

We will use SAS and/or R throughout the course. 

Grading: Homework: 15%; Test 1 25%; Test 2 25%; Project 10%; Final 25% (Thursday, May 12 at 12:30 pm). Several homework sets will be assigned, but they will not all be handed in for a grade.

Academic Honesty: You should be aware policies of the University of Idaho concerning academic honesty (see Article II of the Student Code of Conduct). Breaches of academic honesty will not be tolerated and will result in an F for the course and referral to the Dean of Students for further disciplinary action.

Disability Support Services Reasonable Accommodations Statement:  Reasonable accommodations are available for students who have documented temporary or permanent disabilities. All accommodations must be approved through Disability Support Services located in the Idaho Commons Building, Room 306 in order to notify your instructor(s) as soon as possible regarding accommodation(s) needed for the course. Phone: 885-6307, email at, website at .