The Distinction Between Causality and Correlation Is Best Described As

Multiple Choice

The distinction between causality and correlation is best described as:

A) correlation implies a change in one variable creates a change in another, causality measures co-movement.
B) causality implies positive amounts of co-movement, correlation implies negative amounts of co-movement.
C) causality implies a change in one variable creates a change in another, correlation implies variables move together.
D) None of the answers is correct.