Teaching Responsibility
LJMU Schools involved in Delivery:
Computer Science and Mathematics
Learning Methods
Lecture
Practical
Tutorial
Module Offerings
5101STATS-SEP-CTY
Aims
To enable the students to understand and use simple and multiple linear regression models.
To enable the students to understand and use one-way and two-way Analysis of Variance models.
To give the students an overview of the statistical modelling process.
To extend the students' knowledge and understanding of linear statistical models.
To introduce the students to basic ideas of experimental design.
To give the students experience of using statistical models in practice.
Learning Outcomes
1.
Use simple and multiple linear regression models.
2.
Use one-way and two-way Analysis of Variance models.
3.
Explore linear models using statistical software.
4.
Use blocking techniques to reduce residual variation.
5.
Use appropriately Latin Square and factorial designs.
6.
Analyse data arising from an experimental situation using statistical software.
Module Content
Outline Syllabus:Simple linear regression - ordinary least squares estimation, the analysis of variance, confidence intervals and tests, residuals, prediction.
Multiple linear regression - regression in matrix notation, general F testing, model selection, residuals, prediction.
Statistical software, for simple and multiple linear regression.
One-way Analysis of Variance - least squares estimation, subsidiary analyses.
Two-way Analysis of Variance - additive model, model with interaction effects, subsidiary analyses.
Statistical software, for one and two-way Analysis of Variance.
Sources of variation - randomised blocks experimental designs.
Examples from business, science and the social sciences.
Overview of the statistical modelling process.
Regression diagnostics - residuals, outliers, influence of cases, non-constant variance, non linearity.
Generalized Linear Models.
Model building - polynomial regression, comparing regression lines, variable selection.
Module Overview:
This module covers simple and multiple linear regression, basic one and two-way Analysis of Variance models, and the process of statistical modelling.
This module covers simple and multiple linear regression, basic one and two-way Analysis of Variance models, and the process of statistical modelling.
Additional Information:This model covers simple and multiple linear regression, basic one and two-way Analysis of Variance models, and the process of statistical modelling.