The correlation coefficient, in and of itself,
A) never proves causation
B) never rules out causation
C) allows for better-than-chance predictions
D) all of these

Question

Quizplus · Accepted Answer

The correlation coefficient only measures the strength and direction of a relationship between two variables, but it does not prove causation or rule out causation. Furthermore, the correlation coefficient can allow for better-than-chance predictions of one variable based on the other variable, but it does not guarantee accurate predictions. Therefore, choice D, all of these, is the best answer.

The Correlation Coefficient, in and of Itself