应用统计学spss实验报告6(4)

2018-12-29 20:22

Function

Ward Method 1 2 3 4

1 -2.468 .113 1.879 3.378

2 -.312 .697 .708 -2.869

3 -.255 1.835 -.549 .339

Unstandardized canonical discriminant functions evaluated at group means

上表显示出了三维的各类别重心在空间中的坐标位置。

Classification Statistics

Processed Excluded

Missing or

out-of-range group codes

At least one missing discriminating variable

Used in Output

60 0 0 60

Classification Processing Summary

Ward Method

毛利 投资 店堂面积 P15 P25 P35 P45 P55 TOTAL

1 -.368 -.103 .779 .024 -.006 -.009 -.018 -.003 .007

2 -.375 -.117 .844 .029 -.004 -.009 -.013 .000 .005

3 -.366 -.117 .861 .026 -.004 -.007 -.013 -.001 .006

16 4 -.371 -.095 .860 .032 -.005 -.010 -.011 -.001 .006

Classification Function Coefficients

平均收入 非餐饮企 月租金 生活指数 (Constant)

6.895 .886 1.554 2.282 -290.031

6.684 .863 2.196 2.329 -311.410

7.096 .869 1.968 2.192 -314.040

7.252 .845 1.675 2.203 -346.514

Fisher's linear discriminant functions

通过上表可以得到四个贝叶斯判别函数,把新样本的值对应带入四个函数式,函数值最高的即为相应分类

Predicted Group Membership

Original

Count

Ward Method 1 2 3 4

%

1 2 3 4

Cross-validated(a)

Count

1 2 3 4

%

1 2 3 4

functions derived from all cases other than that case. b 98.3% of original grouped cases correctly classified. c 81.7% of cross-validated grouped cases correctly classified.

1

23 0 0 0 95.8 .0 .0 .0 22 0 1 0 91.7 .0 4.5 .0

2

0 9 0 0 .0 100.0

.0 .0 0 8 4 0 .0 88.9 18.2 .0

3

1 0 22 0 4.2 .0 100.0

.0 2 1 16 2 8.3 11.1 72.7 40.0

4

0 0 0 5 .0 .0 .0 100.0

0 0 1 3 .0 .0 4.5 60.0

Total

24 9 22 5 100.0 100.0 100.0 100.0 24 9 22 5 100.0 100.0 100.0 100.0

Classification Results(b,c)

a Cross validation is done only for those cases in the analysis. In cross validation, each case is classified by the

根据输出结果的不一致表明利用Bayes判别方法,其判别分析的结果不稳定。

17


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