MS3252 - Regression Analysis

Offering Academic Unit
Department of Management Sciences
Credit Units
Course Duration
One Semester
Course Offering Term*:
Semester A 2023/24, Semester B 2023/24

* The offering term is subject to change without prior notice
Course Aims

  • Introduce regression and analysis of variance techniques and models commonly used in solving business problems.
  • Provide an opportunity for students to practice quantitative research skills with real business cases related to management decision making.
  • Build students’ competence in using contemporary computer software such as SAS, IBM’s SPSS, R, Python to analyze business data.

Assessment (Indicative only, please check the detailed course information)

Continuous Assessment: 30%
Examination: 70%
Examination Duration: 2 hours
Detailed Course Information


Useful Links

Department of Management Sciences