ABSTRACT
We begin this section with de nitions of univariate means, variances, then bivariate covariances, and correlations, all in scalar algebra. In Section 3.2, we consider their multivariate counterparts using matrix algebra. In Section 3.3, we discuss the properties of linear composite variables, because these play a basic role in all multivariate statistics as well as factor analysis and structural equation modeling.
