Module 16 - Correlation & Regression

It is common in biomedical research to investigate whether there is a relationship between two or more variables. For example, is there a relationship between maternal alcohol consumption and low birth weight, or between a physician's age and their willingness to incorporate new technology into their practice? The methods used to do this focus on the 'co-relatedness' of the two variables.
The goal of this session is to learn the statistical techniques known as: correlation, which is used to establish and quantify the strength and direction of the relationship between two variables; and regression, which is used to express the functional relationship between two variables so that the value of one can be predicted from knowledge of the other.

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