Understanding Correlation vs Causation: Linking and Lurking Variables

This lesson explores the difference between correlation and causation, emphasizing that correlation does not imply causation. It explains the correlation coefficient and common statistical errors, using examples like stress and ulcers, and beach rescues and temperature. The lesson also introduces linking and lurking variables, illustrating how they can affect perceived relationships between variables. Finally, it highlights the importance of experiments in establishing causality.

What is an example of a causal relationship that is commonly accepted?

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How can one determine if a correlation is due to a causal relationship?

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