Abstract
There are different ways to quantify the relation between two or more continuous variables. Some researchers use correlation coefficients; others will apply regression methods such as linear regression. In this paper, we show that the choice between correlation and regression is not purely a statistical one but largely depends on the research aims. Importantly, one should always inspect the data before using either of the two methods.
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CITATION STYLE
le Cessie, S., Groenwold, R. H. H., & Dekkers, O. M. (2021, May 1). Correlation or regression, that’s the question. European Journal of Endocrinology. BioScientifica Ltd. https://doi.org/10.1530/EJE-21-0251
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