Abstract
This chapter shows how you can use some data on one or more variables (for example people’s diet and exercise habits) to try to predict the value of a further variable (for example on their general health). Models to do this are called ‘regression models’. We start with the single variable case and then move on to ‘multiple regression models’ which use several variables to make the prediction. We also look at how we can assess the accuracy of regression models, the circumstances under which they may be misleading and how they can be used; often the aim is to try to explain something rather than to predict it.
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