ST211 Half Unit
Applied Regression
This information is for the 2017/18 session.
Teacher responsible
Dr Nicholas Cron (COL2.04)
Availability
This course is compulsory on the BSc in Business Mathematics and Statistics. This course is available as an outside option to students on other programmes where regulations permit. This course is not available to General Course students.
Specifically the course is available to Accounting and Finance students who have taken ST102.
Pre-requisites
ST102
Course content
Tabulation, Graphical representation, Regression, Detection of outliers, Model diagnostics, Analysis of Variance.
Teaching
10 hours of lectures and 20 hours of lectures in the LT. 2 hours of lectures in the ST.
Students will be given their assessed project to start on in week 6 which is due in at the beginning of ST.
Formative coursework
Regular Moodle quizzes. Regular take home exercises.
Indicative reading
1. Neter, J., Kutner, M., Nachtsheim, C. and Wasserman, W. Applied Linear Statistical Models, McGraw-Hill, Fourth Edition. (2004).
2. Abraham, B. Ledolter, J. Introduction to Regression Modelling, Thomson Brooks Cole. (2006).
3. S. Weisberg Applied Linear Regression, Wiley, 3rd edition. (2005)(intermediate).
4. Fox (2016) Applied Regression Analysis and Generalized Linear Models.
5. Dougherty (2011) Introduction to Econometrics.
Assessment
Exam (50%, duration: 2 hours) in the main exam period.
Project (50%) in the ST.
Student performance results
(2014/15 - 2016/17 combined)
Classification | % of students |
---|---|
First | 32.7 |
2:1 | 43.3 |
2:2 | 15.4 |
Third | 6.7 |
Fail | 1.9 |
Key facts
Department: Statistics
Total students 2016/17: 33
Average class size 2016/17: 16
Capped 2016/17: Yes (60)
Value: Half Unit
PDAM skills
- Self-management
- Problem solving
- Application of information skills
- Specialist skills