MY552      Half Unit
Applied Regression Analysis

This information is for the 2017/18 session.

Teacher responsible

Mr Jack Blumenau COL8.02 and Dr Indraneel Sircar COL8.02


Research students where programme regulations allow.


Students are required to have completed MY451/MY551 Introduction to Quantitative Analysis or an equivalent level statistics course.

Course content

The course is designed for students with a good working knowledge of elementary descriptive statistics; sampling distributions; one and two sample tests for means and proportions; correlation and the linear regression model with one or more predictor variables. The course is concerned with deepening the understanding of the generalized linear model and its application to social science data. The main topics covered are linear regression modelling and binary, multinomial and ordinal logistic regression. 


20 hours of lectures and 10 hours of computer workshops in the MT. 20 hours of lectures and 10 hours of computer workshops in the LT.

This course is given twice per session, starting in the first week of each of the MT and LT. Students must either register for MY552M which is taught in Michaelmas Term, or MY552L which is taught in Lent Term.

There will be no lectures or computer classes in Week 6 of term.

Formative coursework

Class exercises and homework can be carried out using the Stata, SPSS or R software, according to the student's choice.

Indicative reading

A Agresti & B Finlay, Statistical Methods for the Social Sciences. A course pack will be available for download online and can be purchased as a hard copy. Additional reading will be recommended.


Exam (100%, duration: 2 hours) in the main exam period.

A two-hour open book unseen examination in ST.

Key facts

Department: Methodology

Total students 2016/17: Unavailable

Average class size 2016/17: Unavailable

Value: Half Unit

Guidelines for interpreting course guide information