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Bivariate Linear Regression

Created/Published/Taught by:
Martin Schultze

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datascience+

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from datascience+:

“Regression is one of the – maybe even the single most important fundamental tool for statistical analysis in quite a large number of research areas. It forms the basis of many of the fancy statistical methods currently en vogue in the special sciences. Multilevel analysis and structural equation modeling are perhaps the most widespread and most obvious extensions of regression analysis that are applied in a large chunk of current psychological and educational research. The reason for this is that the framework under which regression can be put is both simple and flexible. Another great thing is that it is easy to do in R and there are a lot – a lot – of helper functions for it.

Let’s take a look at an example of simple linear regression. I’ll use the swiss dataset which is part of the datasets-Package that comes pre-packaged in every R installation.”

Recommended Prerequisites: none specified

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