Final answer:
It is false that a high correlation between two variables implies causation, because of potential confounding factors, spurious relationships, or the correlation-causation fallacy.
Step-by-step explanation:
The correct answer is B.False. A high correlation between two factors does not necessarily imply that one causes the other. This misunderstanding is known as the correlation-causation fallacy. For example, correlation between ice cream sales and burglary rates doesn't mean that one causes the other; both may increase due to a confounding variable like warm weather.
Another scenario is where confounding factors or spurious relationships are present. These can lead to misconceptions about the relationship between two correlated variables. Therefore, correlational research is a starting point, but without further investigation, it is incorrect to assume causation based solely on correlation.