SYLLABUS: EXST7034 – Regression                                Fall 2004

Class Meets : Monday and Wednesday from 3:00 to 4:30 in room 218 Coates Hall
Professor: JAMES P. GEAGHAN
Office	67 Agriculture Administration Building
Office hours	Tuesdays and Thursdays, 3:15 - 4:00 (or call for appointment anytime)
Telephone	578 - 8303
Grading Points:	2 exams @ 100 points each	200
	1 final exam @ 150 points	150
	Lab assignments count 100 points	100
	TOTAL	450
Exam Schedule
First Exam	Wednesday, September 29
Second Exam	Wednesday, November 03
Final Exam	Saturday, December 11 at 3:00 PM
Course Grading
Final Score =	(Exam1% + Exam2% + Homework% + 1.5*Final%) / 450
Letter grade	Guaranteed minimum grade assignment
	90 - 100 points, minimum grade of	A
	80 - 89.9 points	B
	70 - 79.9 points	C
	60 - 69.9 points	D

TEXT : Applied Linear Statistical Models: 1996. Neter, Kutner, Nachtsheim, and Wasserman. Richard D. Irwin, Inc.  Burr Ridge, Illinois. 1408 pp.

Catalog Course Description: EXST7034 Regression Analysis (3) F Prereq: EXST7013 or EXST7014 or EXST7015 or equivalent and knowledge of matrix algebra. Fundamentals of regression analysis, stressing an understanding of underlying principles; response surfaces, variable selection techniques, and nonlinear regression.

Course Outline:
Textbook: Neter, Kutner, Nachtsheim, and Wasserman
Topic		Chapter
Simple Linear Regression
	Review of Simple Linear Regression	1
	Inferences with Simple Linear Regression	2
	Diagnostics and Remedial measures	3
	Simultaneous inference and special topics	4
	Matrix algebra approach	5
Multiple Linear Regression
	Multiple Regression	6
	Model evaluation and Curvilinear regression	7
	Selection of predictor variables	8
	Model Diagnostics	9
	Model Remedial measures	10
Analysis of Covariance		11
Autocorrelation (Time Series)		12
Advanced Topics (Nonlinear and Logistic regression, time permitting)

Last Update: August 19, 2004
James P. Geaghan