Linear Regression (part 5)
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Linear Regression (part 5) explains how to use regression equations to predict future outcomes while stressing the limits of causal claims, the need to check assumptions, and the risk of overlooking non-linear patterns in the data.
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We cannot infer causality from regression, despite the fact that it represents a significant increase in sophistication over merely identifying correlation.
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