Structure matrix

Table of correlations between independent variables and discriminant functions with independent variables in the rows and discriminant functions in the columns — Figure 1. Structure matrix

When there is more than one discriminant function, an asterisk(*) marks each variable's largest absolute correlation with one of the canonical functions. Within each function, these marked variables are then ordered by the size of the correlation.

Level of education is most strongly correlated with the first function, and it is the only variable most strongly correlated with this function.
Years with current employer, Age in years, Household income in thousands, Years at current address, Retired, and Gender are most strongly correlated with the second function, although Gender and Retired are more weakly correlated than the others. The other variables mark this function as a "stability" function.
Number of people in household and Marital status are most strongly correlated with the third discriminant function, but this is a useless function, so these are nearly useless predictors.