Correlation
Correlation is probably the first thing you think of when you hear about relationships in data. The second thing is probably causation. Now maybe you’re thinking about the mantra that correlation doesn’t equal causation. The first, correlation, means one thing tends to change a certain way as another thing changes. For example, the price of milk per gallon and the price of gasoline per gallon are positively correlated. Both have been increasing over the years.
Now here’s the difference between correlation and causation. If you increase the price of gas, will the price of milk go up by default? More important, if the price of milk did go up, was it because of the increase in the gas price or was it an outside factor, such as a dairy strike?
It’s difficult to account for every outside, or confounding factor, which makes it difficult to prove causation. Researchers spend years figuring stuff like that out. You can, however, easily find and see correlation...
