Final answer:
The statement is false; correlation does not imply causation. Two variables may be related without one necessarily causing the other, and the interrelation might be due to a third, confounding variable.
Step-by-step explanation:
If two variables are correlated, then one of them must cause the other. The statement is B. False. Correlation refers to a scenario where two variables have a relationship in which changes in one variable are associated with changes in the other.
However, this does not inherently mean that one causes the other, which is a common misunderstanding known as the correlation-causation fallacy.
A positive correlation is observed when variables change in the same direction, whereas a negative correlation means they move in opposite directions.
To demonstrate the fallacy, consider the example where both ice cream sales and the rate of burglaries increase during the summer season. This doesn't mean that ice cream sales cause burglaries; instead, it may be due to a third variable, like warmer temperatures, which affects both. This is an example of a confounding variable.