There are actually a number of different ways to calculate a correlation (aka. Of course, we must always remember that correlation \(\neq\) causation. What you need to know is that the correlation coefficient can tell you how strong the relationship between two variables is and what direction the relationship is in, positive or negative. Again, here’s a mathematical explanation if you are interested. In mathematical terms, the correlation coefficient (the number you are about to calculate) is the covariance divided by the product of the standard deviations. Does x increase as y increases? Does y decrease as x decreases? If whether or not one variable changes is in no way related to how the other variable changes, there is no correlation. A quick review…Ĭorrelation refers to the extent to which two variables change together. You may or may not remember correlation from your introductory statistics classes.
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