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Interpret the following output of Multiple discriminant analysis (MDA)
说明以下多重判别式分析的结果
Data was collected on two groups of firms. One group is considered to be bankrupted (0 category) and another group to be non-bankrupted (1 category). The result shows that three independent variables: Solvency, Age and Quick ratio are important to explain bankruptcy (dependent variable) among sample firms. Interpret the result of Eigenvalues, Cox & Snell,
Nagelkerke R Square R Square, Structure Matrix and Classification Results.
数据收集自两组公司。一组被认为会破产，而另一组不会。结果表明了三个自变量：偿付能力，年龄和速动比率对于解释在样本公司中破产（因变量）是很重要的。说明以下结果：Eigenvalues特征值, Cox & Snell,
Nagelkerke R Square R Square, Structure Matrix结构矩阵 and Classification Results.
Eigenvalues
Eigenvalues
Function
Eigenvalue
% of Variance
Cumulative %
Canonical Correlation
1
,347a
100,0
100,0
,507
a. First 1 canonical discriminant functions were used in the analysis.
Answer:
Model Summary
Model Summary
Step
-2 Log likelihood
Cox & Snell R Square
Nagelkerke R Square
1
3177,783a
,302
,546
a. Estimation terminated at iteration number 7 because parameter estimates changed by less than ,001.
Answer:
Structure Matrix
Structure Matrix
Function
1
Solvency0
,780
Age0
,279
QuickRatio0
,107
Answer:
Classification Results
Classification Resultsa
Type
Predicted Group Membership
Total
0
1
Original
Count
0
3051
33
3084
1
288
1124
1412
%
0
98,9
1,1
100,0
1
20,4
79,6
100,0
a. 92,9% of original grouped cases correctly classified.
Answer:
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