Correlational statistics assess the relationship between two or more sets of scores. A correlation may be positive or negative and vary from 0.00 to plus or minus 1.00. The existence of a correlation does not necessarily mean that one of the correlated variables causes changes in the other. Nor does the existence of a correlation preclude that possibility. Correlations are commonly graphed on scatter plots. Perhaps the most common correlational technique is the Pearson’s product-moment correlation. You square the Pearson’s product-moment correlation to get the coefficient of determination, which will indicate the proportion of variance in one variable accounted for by another variable.