Which of the following is not true of correlation?
A) The fact that there is a correlation between two variables means that one variable causes the other, but it isn't clear which is cause and which is effect.
B) A negative correlation means that an increase in the value of one variable is associated with a decrease in the value of the other variable.
C) The number in a correlation coefficient indicates the relative strength of the relationship between two variables-the higher the number, the stronger the relationship.
D) Correlations are useful in making predictions. The stronger the relationship between the variables, the better the prediction.

Question

Quizplus · Accepted Answer

This statement is not true. Correlation does not imply causation, and it is often difficult to determine which variable is causing changes in the other variable. Therefore, it is important to be cautious when interpreting correlations as evidence of causation.

Which of the Following Is Not True of Correlation