|Module Title||REGRESSION AND ANOVA|
|Co-ordinator||Mr D A Jones|
|Other staff||Dr J G Basterfield|
|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%|
|Resit assessment||2 Hours (written examination)||100%|
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.
This module will provide a thorough grounding in the basic theory associated with some important statistical models.
On completion of this module, a student should be able to:
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.
** 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