Correlation does not imply causation. Correlation tells us how strongly the pair of variables x and y are linearly related and change together. It does not tell us why and how behind the relationship.
The third variable or extraneous variable z which can influence both x and y separately can make it such and x and y are cause of one for the other, whereas in actual fact it is not so.
For example,
let
x = sale of ice cream
y = death due to drowning.
We can note a high positive correlation between x = sale of ice cream and y = death due to drowning. The actual fact is x is not the cause of y.
The reason is the presence of third variable z = hot weather which influences both x and y.
Since it very hot, ice cream sale increases.
Because of hot weather, people go into water games, causing death due to drowning.
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