Correlation does not imply causation is an interesting phrase that you will hear mostly in statistics and when learning about data science in detail. But what does it mean? Well, it merely indicates that just because two things correlate does not always mean that one causes the other. For example, the Norwegian winter is cold, and people tend to spend more money on buying hot foods such as soup than they do in summer. However, this does not mean that cold weather causes people to spend more money on soup. Therefore, although the expenditure of people in Norway is related to cold weather, the spending is not the cause of the cold weather. Hence, correlation is not causation.
Note that there are two essential terms in this phrase: correlation and causation. Correlation reveals how strongly a pair of variables are related to each other and change...