Correlation

Correlation describes how variables vary together. A positive relationship means higher values of one tend to accompany higher values of the other; a negative relationship means they tend to move in opposite directions. A correlation coefficient describes a particular form of association, usually linear for Pearson’s coefficient. Association does not establish causation, and a zero linear correlation does not rule out all relationships. Examine graphs, business context and data quality before using a relationship for prediction.