Which statement correctly distinguishes correlation from causation?

Which statement correctly distinguishes correlation from causation?

• A. Correlation implies causation.
• B. Correlation is always random.
• C. Correlation means two variables move in opposite directions.
• D. Correlation means two variables move together; causation means one variable directly affects the other.

Answer: (D)

The main idea is that correlation is about a relationship or association between two variables, while causation means one variable directly changes or drives the other. Correlation means two variables tend to move together: they can both increase, both decrease, or one increase while the other decreases. Causation means there’s a direct influence of one variable on the other, with a mechanism or sequence showing that change in one leads to a change in the other. So the statement correctly captures that distinction by saying correlation is about two variables moving together, while causation is about one variable directly affecting the other. Common pitfalls to keep in mind: a correlation does not prove that one thing causes the other. There can be a third factor (a confounder) causing both, or the relationship could be coincidental. Also, correlations can be positive (move in the same direction) or negative (move in opposite directions).

The main idea is that correlation is about a relationship or association between two variables, while causation means one variable directly changes or drives the other.

Correlation means two variables tend to move together: they can both increase, both decrease, or one increase while the other decreases. Causation means there’s a direct influence of one variable on the other, with a mechanism or sequence showing that change in one leads to a change in the other. So the statement correctly captures that distinction by saying correlation is about two variables moving together, while causation is about one variable directly affecting the other.

Common pitfalls to keep in mind: a correlation does not prove that one thing causes the other. There can be a third factor (a confounder) causing both, or the relationship could be coincidental. Also, correlations can be positive (move in the same direction) or negative (move in opposite directions).