Probability and Statistics
Causation refers to the relationship between cause and effect, indicating that one event or variable directly influences another. In statistical analysis, establishing causation is crucial for understanding how changes in one factor lead to changes in another, as opposed to mere correlation where two variables may move together without a direct influence. This concept is particularly important in regression analysis where the aim is to infer how independent variables affect a dependent variable.
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