Fall 2021 Course Syllabus:  Math 644

 

Course Title:

Regression Analysis Methods

Textbook:

Applied Linear Regression Models, by Kutner, Michael 
Nachtsheim, Christopher, and Neter, John; Publisher: McGraw-Hill/Irwin; 4 edition (January, 2004); ISBN-10: 0073014664; ISBN-13: 978-0073014661.

 

Reference Books:

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

9/8

1

 

Lecture Notes

Basic Statistical Knowledge

 

9/6 (Monday): Labor Day

Monday's classes meet on Wed.

Week 2

9/13

2

Chapter 1

Linear Regression with One Predictor Variable

 

Homework 1

Week 3

9/20

3

Chapter 2

 

Inference in Regression and Correlation Analysis

Week 4

9/27

4

Chapter 3

 

Diagnostics and Remedial Measures

Homework 2

Week 5

10/4

5

Chapter 5

Matrix Approach to Simple Linear Regression Analysis

Week 6

10/11

6

Chapter 6

Multiple Linear Regression I

Homework 3

Week 7

10/18

7

Chapter 7

Multiple Linear Regression II

Week 8

10/25

 

 

MIDTERM EXAM:

Monday ~ October 25, 2021

 

Week 9

11/1

8

Chapter 7

Multiple Linear Regression II

Regression Analysis Project

Homework 4

Week 10

11/8

9

Chapter 8

Building the Regression Model I: Models for Quantitative and Qualitative Predictors

Week 11

11/15

10

Chapter 9

Building the Regression Model II: Model Selection and Validation

Homework 5

Week 12

11/22

11

Chapter 9

Building the Regression Model II: Model Selection and Validation

Week 13

11/29

 12

Lecture Notes 

Other Issues in Multiple Linear Regression        

Homework 6

Week 14

12/6

 

 

        Students’ Project Presentation

 

Week 15

12/13

 

NO CLASS ~ Reading Day 1

Week 16

12/20

 

 

FINAL EXAM:

Monday ~ December 20, 2021

 

 

 

IMPORTANT DATES

FIRST DAY OF SEMESTER

September 1, 2021

LAST DAY TO WITHDRAW

November 10, 2021

LAST DAY OF CLASSES

December 10, 2021

FINAL EXAM PERIOD

December 15 – 21, 2021

 

Grading Policy

 

Assignment Weighting

 

Tentative Grading Scale

Homework

25 %

 

A

90 -- 100

Project

15 %

 

B+

85 -- 90

Midterm Exam

25 %

 

B

80 -- 85

Final Exam

35 %

 

C+

75 -- 80

 

 

 

C

70 -- 75

 

 

 

F

0 -- 70

 

 

 

Important Departmental and University Policies

 

 

Prepared by Prof. Wenge Guo, August 13, 2021