A correlation is a statistical measure that describes the size and direction of a relationship between two or more variables. A correlation between variables, however, does not automatically mean that the change in one variable is the cause of the change in the values of the other variable. Two events can consistently correlate with each other but not have any causal relationship. An example is the relationship between reading ability and shoe size across the whole population. If someone performed such a survey, they would find that the larger shoe sizes correlate with better reading ability. But this does not mean large feet cause good reading skills. Instead, it’s caused by the fact that young children have small feet and have not yet,or only recently, been taught to read. In this case, the two variables are more accurately correlated with a third: age.
Causation indicates that one event is…
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