The trace of a covariance matrix is the total variance of the data in the matrix. The determinant (generalized variance) takes into account the redundancy implied by the covariance in the matrix, while the trace (total variance) does not. Second, the determinant is used in the calculation of the multivariate test statistic. For example, Wilks’s L represents the ratio of two determinants in multiple regression.