Statistics
Causality
Statistics
Univariate statistics

Correlation between two variables does not mean that a change in one variable causes a change in the other. For example:
 If a strong correlation between the number of cat owners and number of burglaries in towns is found, it does not mean that owning a cat increased or decreased the number of burglaries. We would describe this correlation as either being coincidental, or a third variable may be the cause. In this case the third variable may be the population of the town.