Regression Models: A Hands-on Approach

Overview
Regression is a powerful technique for studying relationships between quantitative variables.  Summarising relationships by the most appropriate equation (modelling) is very quick when using a statistical package.  It is also easy to progress from basic models to more complex situations such as comparison of regressions.
The course introduces commonly-used linear regression techniques using a combination of presentations and computer-based practicals, whereby theory is firmly placed into practice.  You have a choice of packages from Minitab, R, SAS, SPSS and Stata.

Who Should Attend?
Scientists and related who need to be conversant with the concepts of regression and the process of choosing a model.  Attendance on A Review of Basic Statistics using Excel, or equivalent knowledge, is assumed.

How You Will Benefit
Participants will acquire an appreciation of how basic regression concepts can be extended easily to investigate more complex situations.  You will also learn how to interpret computer output and to report results in non-statistical language, as well as a guide to the analysis of variance table.

What Do We Cover?
Day 1
  • Exploratory data analysis: modelling relationships
  • Simple linear regression: fitting straight lines and curves
  • Assessing the model assumptions: model-checking using residuals
  • Extensions to the linear model: comparison of regression lines.
Day 2
  • Multiple linear regression and model selection
  • Use of transformations; case study - use of the logarithmic transformations
  • Quadratic regression models and their application
  • Common issues in multiple linear regression: interpretation of R-squared, correlation versus regression, association versus causation, multicollinearity.

Choice of Software
Practical work may be done in: Minitab, R, SPSS, SAS, Stata
Note: For practical work, participants must bring their own laptop with a fully licensed version of their chosen software.
Course Dates
Next run to be announced

Duration: 2 days
Price: £TBC

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