Correlation refers to a statistical relationship between two variables, where a change in one variable is associated with a change in the other variable. It shows the strength and direction of the relationship but does not imply causation.
Causation, on the other hand, refers to a cause-and-effect relationship, where one variable directly influences or causes a change in another variable. It implies that the change in one variable is responsible for the change in the other variable.
It's important to understand that just because two variables are correlated does not mean that one variable causes the other. Correlation does not establish causation, as there could be other factors or variables at play that influence both variables simultaneously. Therefore, it is essential to consider other evidence and design proper experiments to establish causation.
what is Correlation vs causation
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