• Inverse (or negative) correlation is when two variables in a data set are related so that when one of them is high, the other is low.

  • Even though two variables may have a strong negative correlation, this does not necessarily mean that the behavior of one has any causal effect on the other.
  • The relationship between two variables may change over time and may also have periods of positive correlation.