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.

Question

Quizplus · Accepted Answer

Causality implies that one variable directly causes a change in another variable, while correlation only implies that two variables are moving together. Correlation does not necessarily mean there is a causal relationship between the variables.

The Distinction Between Causality and Correlation Is Best Described As