Correlation and Causation

## Understanding Relationships Sometimes data sets move together, but does one cause the other? That's where correlation and causation come in! ### Correlation Correlation measures how closely two variables move together. It can be: - **Positive**: Both increase together. - **Negative**: One increases as the other decreases. - **None**: No relationship. ### Causation Causation means one event actually causes the other to happen—a much stronger claim! ### Why It Matters Just because two things are linked (correlation) doesn't mean one causes the other (causation). Misunderstanding this can lead to funny or even dangerous mistakes! ## Examples in Real Life - Ice cream sales and sunburns both go up in summer (correlation), but eating ice cream doesn't cause sunburn! - Studying more usually leads to better test scores (causation).