One of the most common errors in health-related studies is the confusion between correlation and causation.
Why is the above statement true? Can you give me an example to help me understand this?© BrainMass Inc. brainmass.com October 9, 2019, 6:53 pm ad1c9bdddf
When two variables are correlated, that means that a change in one is associated with a change in the other. This does not mean that one variable causes the other.
In the last posting (posting 100984), I said that there was a positive correlation between teenage obesity and tv watching. This could be a causal ...
The solution discusses the confusion between correlation and causation.