2021
DOI: 10.1530/eje-21-0251
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Correlation or regression, that’s the question

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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Cited by 3 publications
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“…Finally, because this exploratory study is first and foremost interested in the relationship between two variables and its primary interest is not the effect of one (or more) variable(s) on another (dependent) variable, I chose to focus on a correlation analysis and not to run a regression analysis (le Cessie et al, 2021). A correlation matrix is useful to summarize a large amount of data and to see patterns in the relationship between variables.…”
Section: Discussionmentioning
confidence: 99%
“…Finally, because this exploratory study is first and foremost interested in the relationship between two variables and its primary interest is not the effect of one (or more) variable(s) on another (dependent) variable, I chose to focus on a correlation analysis and not to run a regression analysis (le Cessie et al, 2021). A correlation matrix is useful to summarize a large amount of data and to see patterns in the relationship between variables.…”
Section: Discussionmentioning
confidence: 99%
“…The statistical significance of a relationship ( p value) between two variables being different than zero would be the same if either a Pearson r correlation or simple linear regression are used on the same data. If the intention of a study is to demonstrate the relationship between two normally distributed variables, then either method would be sufficient; however, correlations are generally more problematic to compare across studies because they are more dependent on the range in data (le Cessie et al, 2021). This is the challenge that wastewater utilities and state regulators are facing when interpreting the term “correlation” in the Clean Water Act.…”
Section: Discussionmentioning
confidence: 99%
“…Finally, because this exploratory study is first and foremost interested in the relationship between two variables and its primary interest is not the effect of one (or more) variable(s) on another (dependent) variable, I chose to focus on a correlation analysis and not to run a regression analysis (le Cessie et al, 2021). A correlation matrix is useful to summarize a large amount of data and to see patterns in the relationship between variables.…”
Section: Limitations Of This Studymentioning
confidence: 99%