Fall 2014 Course Syllabus: Math 644
Course Title: 
Regression Analysis Methods 
Textbook: 
Applied Linear Regression Models, by Kutner, Michael

Reference
Books: 
Introductory Statistics with R, by Peter Dalgaard (2008, 2 edition). Linear Models with R, by Julian Faraway (2005). 
Prerequisites: 
Math 661 or
equivalent with Departmental approval. 
Course
Outline 

Date 
Lecture 
Chapter 
Topic 
Assignment 
Week 1 9/4 
1 
Lecture Notes 
Basic Statistical Knowledge and Introduction to R Programing


Week 2 9/11 
2 
Chapter 1 
Linear Regression One Predictor Variable

Homework 1 
Week 3 9/18 
3 
Chapter 2 
Inference in Regression and Correlation Analysis 

Week 4 9/25 
4 
Chapter 3 
Diagnostics and Remedial Measures 
Homework 2 
Week 5 10/2 
5 
Chapter 5 
Matrix Approach to Simple Linear Regression Analysis 

Week 6 10/9 
6 
Chapter 6 
Multiple Linear Regression I 
Homework 3 
Week 7 10/16 
7 
Chapter 7 
Multiple Linear Regression II 

Week 8 10/23 


MIDTERM EXAM: Thursday ~
October 23, 2014 

Week 9 10/30 
8 
Chapter 7 
Multiple Linear Regression II 
Regression Analysis Project Homework 4 
Week 10 11/6 
9 
Chapter 8 
Regression Models for Quantitative and Qualitative Predictors 

Week 11 11/13 
10 
Chapter 9 
Building the Regression Model I 
Homework 5 
Week 12 11/20 
11 
Chapter 9 
Building the Regression Model I 

Week 13 11/25 
12 
Lecture Notes 
Other Issues
in Multiple Linear Regression Tuesday ~ Follow a Thursday Schedule 
Homework 6 
Week 13 11/27 


NO CLASS ~ Thanksgiving Recess 

Week 14 12/4 
13 
Students’ Project Presentation 

Week 15 12/11 

NO CLASS
~ Reading Day 1 

Week 16 12/18 
14 

FINAL EXAM: Thursday ~ December 18, 2014 

IMPORTANT
DATES 

FIRST DAY OF SEMESTER 
September 2, 2014 
LAST DAY TO WITHDRAW 
November 3, 2014 
LAST DAY OF CLASSES 
December 10, 2014 
FINAL EXAM PERIOD 
December 15 – 20, 2014 
Grading Policy
Assignment Weighting 

Tentative Grading Scale 

Homework 
25 % 

A 
90  100 
Project 
20 % 

B+ 
85  90 
Midterm Exam 
25 % 

B 
80  85 
Final Exam 
30 % 

C+ 
75  80 



C 
70  75 



F 
0  70 
Important Departmental and University
Policies
Prepared by Prof. Wenge Guo, August 10, 2014