What are some common misconceptions about correlation?
One common misconception is that correlation implies causation. Just because two variables are correlated doesn't mean one causes the other.
Can you give me an example of this?
Sure! A classic example is the correlation between ice cream sales and drowning incidents. Both increase in summer, but one doesn't cause the other.
Are there other factors that could influence these correlations?
Absolutely! External factors, like seasonal changes, can affect both variables, leading to a spurious correlation.
How can I determine if a correlation is meaningful?
You can look for additional evidence, such as controlled experiments or consider the context of the data to assess causality.
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