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Who It’s For: Researchers and students who are curious about how to adapt a basic linear regression model to analyse data that doesn’t meet assumptions.

Why We Love It: This guide offers an overview of some ways to extend a linear model. It also provides examples using intuitive everyday examples, such as the relationship between stress coffee drinking. Finally, if you find that your data violates different assumptions than the ones described, there is a list of search terms to guide your troubleshooting.