Correlation vs. causation refers to the difference between two concepts where correlation indicates a statistical relationship between two variables, while causation implies that one variable directly influences the other. Understanding this distinction is crucial for accurately interpreting data and making informed conclusions, especially in causal analysis. Correlation can exist without causation, leading to misconceptions if not properly analyzed.
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