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Degree Regulations & Programmes of Study 2010/2011
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DRPS : Course Catalogue : School of Mathematics : Mathematics

Undergraduate Course: Linear Statistical Modelling (Ord) (MATH09015)

Course Outline
School	School of Mathematics	College	College of Science and Engineering
Course type	Standard	Availability	Available to all students
Credit level (Normal year taken)	SCQF Level 09 (Year 3 Undergraduate)	Credits	10
Home subject area	Mathematics	Other subject area	Specialist Mathematics & Statistics (Ordinary)
Course website	http://student.maths.ed.ac.uk
Course description	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	Students MUST have passed: Foundations of Calculus (MATH08005) AND Several Variable Calculus (MATH08006) AND Linear Algebra (MATH08007) AND Methods of Applied Mathematics (MATH08035) AND Probability (Year 2) (MATH08008) AND Statistical Methods (MATH08009) AND Statistical Models (Year 2) (MATH08011)	Co-requisites
Prohibited Combinations	Students MUST NOT also be taking Linear Statistical Modelling (MATH10005)	Other requirements	None
Additional Costs	None

Information for Visiting Students
Pre-requisites	None
Prospectus website	http://www.ed.ac.uk/studying/visiting-exchange/courses

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.

Assessment Information
Coursework: 15%; Degree Examination: 85%.
Please see Visiting Student Prospectus website for Visiting Student Assessment information

Special Arrangements
Not entered

Contacts
Course organiser	Dr Bruce Worton Tel: (0131 6)50 4884 Email: Bruce.Worton@ed.ac.uk	Course secretary	Mrs Katherine Mcphail Tel: (0131 6)50 4885 Email: k.mcphail@ed.ac.uk

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