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ST221 - Linear Statistical Modelling

  • Module code: ST221
  • Module name: Linear Statistical Modelling
  • Department: Statistics
  • Credit: 12

Content and teaching | Assessment | Availability

Module content and teaching

Principal aims

To introduce the ideas and methods of statistical modelling and statistical model exploration. To introduce students to the application of R software and its use as a tool for statistical modelling, specifically for working with linear models in a variety of different scenarios.

Principal learning outcomes

1. Introduction to the R software. Some useful methods of examining large data sets. The use of this package to obtain important summary features in different data structures. 2. A review of the simple linear regression. Distributions of estimators and residuals. 3. An introduction to mutiple regression. Estimators of these models. How the study of residuals can inform and refine model choice. How to use R to check the plausibility of such a statistical model and how to use diagnostic plots in combination with the theory of model refinement. 4. Introduction of polynomial regression and various ANOVA models. The coding and interpretation of these models using R. 5. An introduction to linear models for time series and generalized linear models for frequency data.

Timetabled teaching activities

3 lectures/week, 4 hours of computer practicals. This module runs in Term 2/3.

Departmental link

Other essential notes

Leads to ST404 Applied Statistical Modelling.

Module assessment

Assessment group Assessment name Percentage
12 CATS (Module code: ST221-12)
D (Assessed/examined work) Assessed Course Work 30%
Examination - Main Summer Exam Period (weeks 4-9) 70%

Module availability

This module is available on the following courses:

  • Undergraduate Mathematics and Statistics (BSc MMathStat) (G1G3) - Year 2
  • Undergraduate Mathematics and Statistics (BSc) (GG14) - Year 2
Optional Core


  • Undergraduate Master of Mathematics,Operational Research,Statistics and Economics (G300) - Year 2
  • Undergraduate Data Science (G302) - Year 2
  • Undergraduate Discrete Mathematics (G4G1) - Year 2
  • Undergraduate Discrete Mathematics (G4G3) - Year 2
  • Undergraduate Mathematics,Operational Research,Statistics and Economics (Y602) - Year 2