Math 3805:Regression Analysis

  Semester 1, 2021-2022,  Thursday  9:30 am- 11:20 am,  LMC514  and Friday 4:30 pm - 6:20 pm, OEE1017


http://www.math.hkbu.edu.hk/~hpeng/Math3805.html

Instructor: PENG, Heng, Associate Professor. Office: FSC1205.  Phone: 3411-7021.

E-mail: hpeng@hkbu.edu.hk

Tutorial Teacher: Ho Long Alex CHAN

E-mail: k081424@hkbu.edu.hk

Teaching Assistant: ZHAO Wenbiao

E-mail: 19482329@life.hkbu.edu.hk

Email: K081424@hkbu.edu.hk

Tutorial Time and place:  17 Sep. , 8 Oct., 22 Oct., 5 Nov.,  19 Nov. and 3 Dec.,  4:30pm-6:20pm, OEE1017

Office Hours:  Tuesday. 9:30 am - 12:20 am and  Thursday 11:30 am - 2:30 pm or by appointments.

Syllabus and Others: click here

Lecture notes 1

Examples

Lecture notes 2

Appendix_Lecture Note 2

Lecture notes 3

Appendix_Lecture Note 3

Lecture notes 4

Lecture notes 5

Appendix_Lecture Note 5

Lecture notes 6

Appendix_Lecture Note 6

Lecture notes 7

Lecture notes 8

Appendix_Lecture Note 8

Datasets and Programs

Assignments

Assignment 1

Data Sets for Assignment 1

Due Date Oct. 29

Suggested solution for Assignment 1

Assignment 2

Data Sets for Assignment 2

Due Date Nov. 12

Suggested solution for Assignment 2

Assignment 3

Data Sets for Assignment 3

Due Date Nov. 26

Suggested solution for Assignment 3

Assignment 4

Data Sets for Assignment 4

Due Date Dec. 10

Projects


Requirements:

1.  1-3 people as a group, no exception. 

2.  Data should be found by yourselves.

3.  Based on your obtained data,  the investigated problems should also be proposed by you. 

4.  You can choose software by yourselves to analyze the data. 

5.  Due date:  13 Dec. 2021

6. Plagiarism is not allowed!!!

7.  In your project report,  you should illustrate the following  issues clearly 

      1.  the data background and how you collect such data

       2.   The proposed problems that you are going to investigate and their  significance

        3.  How to construct the regression models for your proposed regression model

        4.  How to estimate your constructed regression model.  If need,  please illustrate clearly your model selection process. 

         5. The  model  Validation and updating process 

         6.  Model inference for your proposed investigated problems.