Linear Statistical Modelling (Ord) (U01642)

? Credit Points : 10 ? SCQF Level : 9 ? Acronym : MAT-3-LSMO

Syllabus summary: Relationships between variables, transformations to linearity, residual and regression sums of squares, analysis of variance in simple linear regression, residual analysis, multiple regression, matrix notation, distributions of sums of squares, inferences about regression parameters, analysis-of-variance models, MINITAB practical.

Entry Requirements

? Pre-requisites : MAT-2-FoC, MAT-2-SVC, MAT-2-LiA, MAT-2-MAM, MAT-2-Prb, MAT-2-SMe, MAT-2-StM

? Prohibited combinations : MAT-3-LSM

Subject Areas

Home subject area

Specialist Mathematics & Statistics (Ordinary), (School of Mathematics, Schedule P)

Delivery Information

? Normal year taken : 3rd year

? Delivery Period : Semester 1 (Blocks 1-2)

? Contact Teaching Time : 2 hour(s) per week for 11 weeks

First Class Information

Date	Start	End	Room	Area	Additional Information
20/09/2007	14:00	15:00	Lecture Room 3317, JCMB	KB

All of the following classes

Type	Day	Start	End	Area
Lecture	Monday	14:00	14:50	KB
Lecture	Thursday	14:00	14:50	KB

Summary of Intended Learning Outcomes

The following are the learning objectives for the Honours version, MAT-3-LSM; for this (Ordinary) version there is more emphasis on the technical, rather than conceptual elements, which will be reflected by a different examination.

1. Familiarity with simple linear regression and multiple linear regression.
2. Knowledge of the definition and properties of the Normal Linear Model.
3. Familiarity with some examples of the Normal Linear Model and ability to recognise other special cases.
4. Ability to use MINITAB for data analysis, particularly regression analysis and analysis of variance.
5. Ability to interpret the results of statistical analyses.