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MS3252 - Regression Analysis

Offering Academic Unit
Department of Management Sciences
Credit Units
3
Course Duration
One Semester
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, 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
Aim to test the students' ability in choosing a suitable statistical technique to analyze a data set with particular features and executing the technique to get the correct answer.
 
Detailed Course Information
MS3252.pdf