Correlation refers to a statistical relationship between two variables, where a change in one variable tends to be associated with a change in another variable. Causation, on the other hand, indicates that one variable directly influences or causes a change in another variable. Understanding the distinction between these two concepts is crucial when analyzing data, as correlation does not imply causation and can lead to misleading interpretations.
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