Understanding the Foundations: Correlation vs. Causation

When you analyze data, understanding the difference between correlation and causation is crucial. Correlation indicates a relationship where two variables move together, but it does not mean one causes the other. Causation, however, proves that one variable directly affects another. Misinterpreting these concepts can lead to serious consequences. Studie…