What is the difference between causation and correlation in statistical analysis?

Causation in statistical analysis refers to a direct cause-and-effect relationship between two variables, where changes in one variable directly cause changes in the other. Correlation, on the other hand, simply indicates a relationship between two variables without implying causation. In other Words, correlation shows that two variables tend to change together, but it does not prove that one variable causes the other to change.