If two sets of data are correlated, this means that:

A. the sampling is random

B. they are related, but one might not be causing the other.

c. one set causes the other to happen.

D. there is an illusory correlation.

If two sets of data are correlated, this means that: one set causes the other to happen.

Explanation:

Correlation indicates a relationship between two or more variables, but this relationship does not suggest cause and effect. When two sets of data are correlated, it means that as one variable changes, the other variable also changes.

The correlation can be measured by calculating a statistic called as correlation coefficient. The number from - 1 to + 1 indicates the strength and direction of the relationship between variables. The correlation coefficient is denoted by the letter r.