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MS3252 - Regression Analysis

Offering Academic Unit
Department of Management Sciences
Credit Units
3
Course Duration
One Semester
Pre-cursor(s)
Course Offering Term*:
Semester A 2024/25, Semester B 2024/25

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

This course aims to:

  • 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: 60%
Examination: 40%
Examination Duration: 2 hours
Examination - A written exam assessing students' understanding of key concepts in regression analysis and analysis of variance, and their ability to evaluate statistical theories and methods.
 
Detailed Course Information
MS3252.pdf