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The tests of equality of group means measure each
independent variable's potential before the model is
created.
Each test displays the results of a
one-way ANOVA for the independent variable using the
grouping variable as the factor.
If the significance value is greater than 0.10, the variable
probably does not contribute to the model.
According to the results in this table, every variable
in your discriminant model is significant.
Wilks' lambda is another measure of a variable's potential.
Smaller values indicate the variable is better at
discriminating between groups.
The table suggests that
Debt to income ratio (x100)
is best, followed by Years with current
employer, Credit card debt
in thousands, and Years at
current address.
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Tests of Equality of Group Means |