On a correlation matrix, you will usually see two values per comparison. The top value for a correlation measurement will be the Pearson correlation, right under that you will see a p-value. I understand when you have a Pearson correlation above, say, 0.5, you can start getting into issues of multicollinearity. I don't quite understand what the significance of the p-value beneath it is, if any?