Question

1. a strong positive correlation between two variables indicates causation.

Explanation:

Correlation does not imply causation. Just because two variables have a strong positive correlation (they tend to increase or decrease together), it doesn't mean that one variable causes the other. There could be a third - variable (confounding variable) that affects both, or it could be a coincidence. For example, there might be a strong positive correlation between ice - cream sales and the number of drownings in a city. But ice - cream sales don't cause drownings. The confounding variable here is warm weather (more people buy ice - cream and more people go swimming in warm weather).

Answer:

False