1. Correlation: Correlation Does Not Mean Causation
One of the major misconceptions about correlation is that a relationship between two variables means causation; that is, one variable causes changes in the other variable. There is a particular tendency to make this causal error, when the two variables seem to be related to each other.
What is one instance where you have seen correlation misinterpreted as causation? Please describe.
correlation doesn't infer/imply causation in the event that two quantities are corresponded, at that point there likely could be a geninue cause advertisement impact relationship however might be different factors are driving both or maybe its fair coincidence.where ever causation is present,we must be careful not to mix up the reason with the impact or else we may finish up/conclude
for example:
That an increased use of heaters causes colder climate/weather.
In order to establish cause and effect, we have to go beyond the statistics and search for separate.Evidence and logical reasoning,correlation may incite us to go searching for such evidence in the first place,but it is no methods a proof,in its own right.
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