STAT0006 Regression Modelling

Module description

This module aims to provide an introduction to regression modelling, covering linear, generalised linear and generalised additive modelling, and with an emphasis on ideas, methods, applications and interpretation of results.

Further details are available in the STAT0006 UCL Module Catalogue entry.

Prerequisite knowledge

STAT0006 is primarily intended for undergraduates within the Department of Statistical Science (including the MASS programmes) and also BSc / MSci Natural Sciences students following the Mathematics and Statistics stream. For these students, the academic prerequisites for this module are met through compulsory study earlier in their programme.

For outside students, the following modules are considered a sufficient alternative prerequisite: one of ECON0019 or MATH0057 or SESS0023 or STAT0021

Registration process

STAT0006 is offered as an elective. Prospective elective students who have taken one of the alternative prerequisite modules listed above should simply register for STAT0006 on Portico and await a decision. Prospective elective students who have taken courses equivalent to the listed modules must additionally consult a member of staff in the Department of Statistical Science.

• Consultation request form

Other considerations

STAT0006 requires students to use the statistical programming language R through the software RStudio, and interpret their results. R programming is not covered in of all the prerequisite modules. Introductory material on using R/RStudio will be provided for students who are unfamiliar with this topic (or who would like a refresher) to work through in their own time. Help on interpreting R output will be available throughout the module.

This webpage part of a guide to modules offered by the Department of Statistical Science that are available to students registered in other UCL departments and should be read in conjunction with the general information on the front page of the guide.