One instance in which correlation misinterpreted as causation is the crime rates and the number of people who homeless. These two variables may show a positive correlation and it may be wrongly concluded that the more homeless population in a particular state, the higher is the crime rate. Here homelessness may be misinterpreted as the cause of an increase in crime rates. However, on a closer look, you may find that the economy is in recession due to which people have become unemployed, unable to pay off their mortgages and thus become homeless. As for the crime rate, maybe the state's budget has been slashed due to the recession which has led to a cut down in the police workforce which has led to more crime, due to decreased police presence. Here the underlying cause for both increase in crime rate and homelessness is the economy being in recession, but we may incorrectly misinterpret correlation between rising crime rates and homelessness as causation.
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What is one instance where you have seen correlation misinterpreted as causation? Please describe
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.
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Give an example of variables that have correlation but no causation exists? [1 sentence or a graph] You may NOT use the ice cream/crime example AND you may not copy information verbatim from websites. You may look at https://stats.stackexchange.com/questions/36/examples-for-teaching-correlation-does-not-mean-causation for examples but you need to (at a minimum) put what you find in your own words and explain what the true cause of the relationship is. In the ice cream/crime example it was found that in a particular city that...
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