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12: Linear Regression

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The goal in this chapter is to introduce linear regression, the standard tool that statisticians rely on when analysing the relationship between interval scale predictors and interval scale outcomes. Stripped to its bare essentials, linear regression models are basically a slightly fancier version of the Pearson correlation (Section 5.7) though as we’ll see, regression models are much more powerful tools.


This page titled 12: Linear Regression is shared under a CC BY-SA 4.0 license and was authored, remixed, and/or curated by Danielle Navarro.

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