Descriptive measures of multivariate scatter and linear dependence

Abstract

In this paper we propose two new descriptive measures for Multivariate Data: The average variance and the Dependency or Average Square Correlation Coefficient. These measures have a direct geometric and statistical interpretation, and can be used to compare groups with different number of variables. The contribution of these measures for understanding multivariate data is illustrated in several examples.