Which statement is accurate about correlation and causation?

Which statement is accurate about correlation and causation?

• A. Correlation proves causation.
• B. Correlation guarantees causation if strong.
• C. Correlation does not imply causation; correlation describes association but not causation.
• D. Correlation always indicates a causal relationship.

Answer: (C)

Understanding correlation versus causation means recognizing that two things can move together without one causing the other. A correlation shows the strength and direction of an association between two variables, but it does not reveal which variable influences the other or whether a third factor is driving both. For example, warm weather can increase both ice cream sales and swimming pool attendance; they are correlated, but one does not cause the other. There could be a confounding factor—temperature—influencing both. Because correlation doesn’t establish cause, a strong relationship does not guarantee a causal link, and assuming causation from correlation alone is incorrect. This is why the accurate statement is that correlation describes an association but not causation.

Understanding correlation versus causation means recognizing that two things can move together without one causing the other. A correlation shows the strength and direction of an association between two variables, but it does not reveal which variable influences the other or whether a third factor is driving both. For example, warm weather can increase both ice cream sales and swimming pool attendance; they are correlated, but one does not cause the other. There could be a confounding factor—temperature—influencing both.

Because correlation doesn’t establish cause, a strong relationship does not guarantee a causal link, and assuming causation from correlation alone is incorrect. This is why the accurate statement is that correlation describes an association but not causation.