X causes Y; therefore, X is correlated with Y, but the converse is not true.

Name: X causes Y; therefore, X is correlated with Y, but the converse is not true.
Brand: Quizplus
Rating: 4.8 (31 reviews)

Question

Quizplus · Accepted Answer

Causation implies correlation because if X causes Y, changes in X will systematically be associated with changes in Y. However, correlation does not imply causation because two variables can be correlated due to coincidence, third variables, or the possibility that Y causes X, not necessarily that X causes Y.

X Causes Y; Therefore, X Is Correlated with Y, but the Converse