Linear Statistical Modelling (U01628)

? Credit Points : 10 ? SCQF Level : 10 ? Acronym : MAT-3-LSM

Core course for Honours Degrees involving Statistics; optional course for Honours degrees involving Mathematics. 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 : Passes at C or better in 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-LSMO, similar courses from Statistics 3 prior to 2004-05

Variants

? This course has variants for part year visiting students, as follows

Linear Statistical Modelling (VS1) (Semester 1 (Blocks 1-2))

Subject Areas

Home subject area

Specialist Mathematics & Statistics (Honours), (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

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

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.