The ranks and natural logarithms of determinants printed are those of the group covariance matrices. This test is very sensitive to meeting also the assumption of multivariate normality. However, discriminant function analysis is robust even when the homogeneity of variances assumption is not met, provided the data do not contain important outliers. Also, when n is large, as it is here, small deviations from homogeneity will be found significant. Test Results Box's M 165.317 F Approx.
Tests null hypothesis of equal population covariance matrices.
Since the dependent, race, has three groups, the number of discriminant functions computed is two. The eigenvalues show how much of the variance in the dependent, race, is accounted for by each of the functions. Wilks's lambda shows each function is significant. 12.4 100.0 .142 a First 2 canonical discriminant functions were used in the analysis. Wilks' Lambda Chi-square df Sig.