How do you interpret the results of a multivariate regression analysis, specifically distinguishing between correlation and causation?
Answer 1
Jonathon Rodriguez
Interpreting multivariate regression analysis involves examining coefficients to understand relationships. Correlation indicates the strength and direction of relationships, while causation implies one variable directly affects another. Causation requires rigorous experimental design and control of confounding variables, not just statistical association.
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