Fall 2016 Course Syllabus: Math 344

 

Course Title:

Regression Analysis

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:

Introductory Statistics with R, by Peter Dalgaard (2008, 2 edition).

Prerequisites:

Math 333 with a grade of C or better or Math 341 with a grade of C or better.

 

 

Course Outline

Date

Lecture

Chapter

Topic

Assignment

Week 1

9/8

1

 

Lecture Notes

Basic Statistical Knowledge and Introduction to R Programming

Week 2

9/12

2

Chapter 1

Linear Regression One Predictor Variable

 

Homework 1

Week 3

9/19

4

Chapter 2

 

Inference in Regression and Correlation  Analysis

Week 4

9/26

6

Chapter 2

 

Inference in Regression and Correlation Analysis

Homework 2

 

Week 5

10/3

 

 8

 Chapter 3

Diagnostics and Remedial Measures

 

 

MIDTERM EXAM I:

Thursday ~ October 6, 2016

 

Week 6

10/10

9

Chapter 5

Matrix Approach to Simple Linear Regression Analysis

Homework 3

Week 7

10/17

11

Chapter 6

Multiple Linear Regression I

 

Week 8

10/24

13

Chapter 7

Multiple Linear Regression I

Homework 4

Week 9

10/31

15

Chapter 7

Multiple Linear Regression II

 

 

Week 10

11/7

 17

 Chapter 7

Multiple Linear Regression II

 Homework 5

 

MIDTERM EXAM II:

Thursday ~ Nov. 10, 2016

 

Week 11

11/14

18

Chapter 8

Regression Models for Quantitative and Qualitative Predictors

 

Week 12

11/21

 

20

Chapter 8

Regression Models for Quantitative and Qualitative Predictors

Tuesday ~ Thursday Class Meet

Homework 6

Week 13

11/28

22

Chapter 9

Building the Regression Model I

 

Week 14

12/5

24

Chapter 9

Building the Regression Model I

Homework 7

Week 15

12/12

 26

Lecture Notes 

Other Issues in Multiple Linear Regression Thursday ~ Reading Day

 

Week 16

12/19

 

 

FINAL EXAM:

Monday ~ December 19, 2016

 

 

 

IMPORTANT DATES

FIRST DAY OF SEMESTER

September 6, 2016

LAST DAY TO WITHDRAW

November 7, 2016

LAST DAY OF CLASSES

December 14, 2016

FINAL EXAM PERIOD

December 16 22, 2016

 

Grading Policy

 

Assignment Weighting

 

Tentative Grading Scale

Homework

30 %

 

A

90 -- 100

Midterm Exam I

20 %

 

B+

82 -- 90

Midterm Exam II

20 %

 

B

75 -- 81

Final Exam

30 %

 

C+

67 -- 74

 

 

 

C

60 -- 66

 

 

 

 D

50 -- 59

F

0 -- 49

 

 

 

Important Departmental and University Policies

 

 

Prepared by Prof. Wenge Guo, August 22, 2016