NCHU Course Outline
Course Name (中) 迴歸分析(5126)
(Eng.) Regression Analysis
Offering Dept Department of Marketing
Course Type Elective Credits 3 Teacher HSU,JANE LU
Department Department of Marketing/Undergraduate Language English Semester 2024-FALL
Course Description The course introduces basic concepts of and skills for regression analysis. Students learn how to apply regression analysis in data analytics and explain results with managerial implications.
Prerequisites
self-directed learning in the course Y
Relevance of Course Objectives and Core Learning Outcomes(%) Teaching and Assessment Methods for Course Objectives
Course Objectives Competency Indicators Ratio(%) Teaching Methods Assessment Methods
1. Learning regression analysis
2. Application
1.Indenpendent Analysis
4.Science Methods with Applications
70
30
Lecturing
Exercises
Discussion
Attendance
Assignment
Oral Presentation
Course Content and Homework/Schedule/Tests Schedule
Week Course Content
Week 1 09/11 Introduction
Week 2 09/18 Ch. 1 A Review of Basic Concepts
Week 3 09/25 Ch. 2 Introduction to Regression Analysis
Week 4 10/02 Ch. 3 Simple Linear Regression
Week 5 10/09 Ch. 3 Simple Linear Regression
Week 6 10/16 Ch. 4 Multiple Regression Models
Week 7 10/23 Ch. 5 Principles of Model Building
Week 8 10/30 Field Trip
Week 9 11/06 Midterm (Open-book exam)
Week 10 11/13 Ch. 6 Variable Screening Methods
Week 11 11/20 Ch. 7 Some Regression Pitfalls
Week 12 11/27 Ch. 8 Residual Analysis
Week 13 12/04 Ch. 9 Special Topics in Regression
Week 14 12/11 Ch. 10 Introduction to Time Series Modeling and Forecasting
Week 15 12/18 Final Presentations
Week 16 12/25 Case I and Feedback
Week 17 01/01 Self-learning (application)
Week 18 01/08 Self-learning (application)
Evaluation
Participation: 10%; Assignment: 30%; Midterm: 30%; Final Presentation: 30%
Textbook & other References
Mendenhall, W., and T. Sincich, 2012, A Second Course in Statistics: Regression Analysis, seventh edition, Prentice-Hall.
Teaching Aids & Teacher's Website

Office Hours
Friday 14:00~16:00
Tel: (04)2284-0392 ext. 764
E-mail: jlu@dragon.nchu.edu.tw
Sustainable Development Goals, SDGs
04.Quality Educationinclude experience courses:N
Please respect the intellectual property rights and use the materials legally.Please repsect gender equality.
Update Date, year/month/day:2024/08/31 14:55:51 Printed Date, year/month/day:2024 / 10 / 11
The second-hand book website:http://www.myub.com.tw/