Module Identifier MA27210  
Module Title REGRESSION AND ANOVA  
Academic Year 2000/2001  
Co-ordinator Mr D A Jones  
Semester Semester 2  
Other staff Dr J G Basterfield  
Pre-Requisite MA26010  
Mutually Exclusive MX37210  
Course delivery Lecture   14 x 1 hour lectures  
  Seminars / Tutorials   2 x 1 hour example classes  
  Practical   6 x 2 hour practical classes  
Assessment Exam   2 Hours (written examination)   80%  
  Course work     20%  
  Resit assessment   2 Hours (written examination)   100%  

General description
This module covers the theory of some of the most commonly used statistical techniques - regression and the analysis of variance. It also includes practical application of these important techniques.

Aims
This module will provide a thorough grounding in the basic theory associated with some important statistical models.

Learning outcomes
On completion of this module, a student should be able to:

Syllabus
1. SIMPLE LINEAR REGRESSION: Theory of least squares. Normal equations. Sampling distribution of estimators. Confidence intervals and tests. Prediction. Correlation. Residuals.
2. EXTENSIONS: Transformation to linear relationship. Extension of the basic ideas to regression on two independent variables.
3. THE ANALYSIS OF VARIANCE: One way and two way classification. Interaction. Checking assumptions. Interpretation of analyses. Contrasts.

Reading Lists
Books
** Supplementary Text
F Daly, D J Hand, M C Jones, A D Lunn and K J McConway. Elements of Statistics. Addison Wesley
W Mendenhall, D D Wackerly & R L Scheaffer. Mathematical Statistics. PWS-Kent