Correlation is typically quantified using the Pearson correlation coefficient (r), which ranges from -1 to 1. An r value close to 1 implies a strong positive correlation, while an r value close to -1 indicates a strong negative correlation. An r value around 0 suggests no linear correlation. Other measures, such as the Spearman rank correlation and Kendall tau, are used for non-parametric data.
