MS3252 - Regression Analysis
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Offering Academic Unit | Department of Decision Analytics and Operations | Credit Units | 3 | Course Duration | One Semester | Course Offering Term*: | Semester A 2024/25, Semester B 2024/25
Semester A 2025/26 (Tentative), Semester B 2025/26 (Tentative) |
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| * The offering term is subject to change without prior notice |
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Course Aims
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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.
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Assessment (Indicative only, please check the detailed course information)
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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. |
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Detailed Course Information
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MS3252.pdf
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