When two variables in a relationship are correlated, a change in one variable suggests a change in the other. However, correlation does not imply causation. In other words, just because a change in variable x suggests a change in variable y, the change in x does not necessary cause the change in y. Both the change in x and the change in y could be caused by a third factor.
A study has shown that as the number of hours a person spends dancing increases, the probability that the person will experience hearing loss also increases. The relationship between hours spent dancing and probability of hearing loss is shown below:
Tuesday, July 13, 2010
Word of the Week: Correlation
10:27 AM
American Book Company





