Question

suppose that there were a strong correlation between the variables d and f. which of these is a true statement?
a. d must cause f.
b. d may cause f.
c. f must cause d.
d. d must not cause f.

Explanation:

Correlation between two variables only indicates a relationship or pattern in their values, but it does not prove causation. A strong correlation could mean one variable causes the other, there is a reverse cause, or a third unseen variable influences both. Thus, we can only say one variable may cause the other, not that it must or must not.

Answer:

B. d may cause f.