Statistical Modelling I

Learning Outcomes

Learning Outcomes

Having successfully completed this module you will be able to:

• Fit multiple regression models using the adopted software package
• Using a variety of procedures for variable selection
• Carry out simple linear regression by computer

Knowledge and Understanding

Having successfully completed this module, you will be able to demonstrate knowledge and understanding of:

• Interpret the output from such an analysis including the meaning of interactions and terms based on qualitative factors
• Understand how to make a critical appraisal of a fitted model .
• Use the theory of linear models and matrix algebra to investigate standard and non-standard problems

Subject Specific Practical Skills

Having successfully completed this module you will be able to:

• Carry out t-tests and calculate confidence intervals by hand and by computer

• Analysis of simple data sets, confidence intervals and t-tests;
• Regression analysis, simple linear regression with one independent variable in detail, including

analysis of variance, confidence intervals, plotting ideas for diagnostic assessment;

• Method of least squares using matrix notation, deriving the general results from first principles;
• Comparison with simple linear regression.
• Multiple linear regression. Examples with two, three and many independent variables;
• Model selection;
• Indicator variables for qualitative factors
• Interpretation of interactions

Lectures, coursework, problem classes, workshops, computer labs, private study.

Summative

This is how we’ll formally assess what you have learned in this module.

Referral

This is how we’ll assess you if you don’t meet the criteria to pass this module.

Repeat

An internal repeat is where you take all of your modules again, including any you passed. An external repeat is where you only re-take the modules you failed.