SPSS处理多元判别分析Word文档格式.docx
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SPSS处理多元判别分析Word文档格式.docx
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.119
-.290
.456
.528
.484
分析1
协方差矩阵的均等性的箱式检验
对数行列式
秩
对数行列式
4
25.055
32.930
26.634
29.759
汇聚的组内
30.930
打印的行列式的秩和自然对数是组协方差矩阵的秩和自然对数。
检验结果
箱的M
160.976
F
近似。
4.888
df1
30
df2
11927.756
Sig.
.000
对相等总体协方差矩阵的零假设进行检验。
特征值
函数
特征值
方差的%
累积%
正则相关性
1
.980(a)
76.5
.703
2
.260(a)
20.3
96.7
.454
3
.042(a)
3.3
.200
a分析中使用了前3个规范判别式函数。
Wilks的Lambda
函数检验
Wilks的Lambda
卡方
df
1到3
.385
90.719
12
2到3
.762
25.841
6
.960
3.881
.144
标准化的规范判别式函数系数
-.203
.691
.765
.221
.303
.322
-.312
.471
-1.106
.898
.103
.473
结构矩阵
.922(*)
.290
-.114
.576(*)
.494
-.018
.199
.740(*)
-.640
-.525
.683(*)
.460
*每个变量和任意判别式函数间最大的绝对相关性
规范判别式函数系数
-.024
.082
.091
.005
.007
-.002
.002
-.006
.009
.001
(常量)
-2.772
-3.193
-2.696
非标准化系数
组质心处的函数
-1.112
.464
.181
1.146
.156
.014
-.353
-.961
-.735
.092
-.450
在组均值处评估的非标准化规范判别式函数
分类统计量
分类处理摘要
已处理的
已排除的
用于输出中
区域图
(假定前两个函数以外的所有函数为0)
典则判别
函数2
-6.0-4.0-2.0.02.04.06.0
6.012
12
4.012
2.012
112
1442
*11442
.01*4442*
144444432
114433333322
1113333*332
111133332
111333332
-2.0111333322
111333332
11133332
11133332
333322
332
-4.032
32
322
-6.032
典则判别函数1
_
区域图中使用的符号
符号组标签
--------------------
11正常人
22肝癌,AFP检测阳性
33肝癌,AFP检测阴性
44肝硬化
*表示一个组质心
按照案例顺序的统计量
案例数目
实际组
最高组
第二最高组
判别式得分
预测组
P(D>
d|G=g)
P(G=g|D=d)
到质心的平方Mahalanobis距离
组
函数1
函数3
p
初始
3(**)
.957
.558
.317
.261
1.832
-.320
-1.196
-.428
.938
.374
.412
.349
.547
-1.144
-.172
.107
4(**)
.738
.552
1.263
2.182
-1.321
.578
-1.276
.981
.399
.177
.362
.369
-1.058
.064
.063
5
.907
.308
1.133
-.223
.411
.928
.387
.458
.300
.969
-.922
-.103
.497
7
.871
.398
.711
.278
1.427
-.872
-.115
.746
8
.945
.445
.376
.418
.502
-1.148
.539
-.522
9
.990
.488
.113
.343
.814
-1.369
.249
.172
10
.973
.428
.226
.321
.800
-.688
.402
.388
11
.986
.450
.142
.316
.854
-.930
.256
.438
.666
.501
1.573
.427
1.889
-1.619
.731
-1.068
13
.560
.482
2.060
.282
3.128
-1.014
-.119
1.489
14
.861
.499
.754
.419
1.101
-1.518
.787
-.514
.924
.507
.477
.391
.997
-1.618
.526
-.283
16
.495
.115
.331
.920
-.875
.678
.296
17
.991
.516
.105
.310
1.126
-.990
.568
.463
18
.405
.481
2.914
.479
2.926
-1.566
1.390
-1.183
19
.893
.512
.613
.361
1.315
-.816
1.157
-.033
.684
1.493
.209
3.493
-.840
.493
1.372
21
.962
.589
.291
.276
1.810
-1.190
.690
.665
22
.950
.603
.354
.298
1.766
-1.182
1.015
.395
23
.851
.638
.795
.247
2.696
-1.035
1.054
.846
24
.850
.620
.799
2.313
-1.048
1.337
.366
.725
.717
.202
3.849
-1.426
1.026
1.131
26
.287
3.771
.109
7.754
.294
-2.436
-1.004
27
.513
.771
2.300
.110
6.191
.396
-2.173
-.440
28
.393
.685
2.992
.238
5.104
.947
-2.094
-.058
29
.466
.773
2.554
5.454
1.898
-1.153
-.512
16.347
32.550
4.806
1.022
1.500
31
.093
6.409
.051
12.265
2.875
-1.023
1.439
32
.285
.929
3.789
.046
9.803
2.118
.732
-1.571
33
.439
.802
2.705
.166
5.852
1.847
-.877
1.085
34
.625
.627
1.754
.258
3.531
1.354
-.937
-.705
35
.744
.607
1.238
.250
3.015
.621
-1.492
36
.614
.951
1.805
.033
8.500
2.447
-.151
37
.423
1.697
1.844
.830
-1.080
-.451
38
.357
.967
3.231
.026
10.485
2.834
-.413
.259
39
.010
.987
11.453
.011
20.465
3.084
1.570
-2.373
.088
.985
6.538
.013
15.219
3.271
-.294
1.365
41
.557
.971
2.077
10.775
2.443
.755
.208
42
.836
.698
.857
.191
3.446
-.407
-1.735
-.423
43
.237
2.786
.934
.131
44
.955
.730
.325
3.283
1.360
-.370
45
.887
.416
.639
.270
1.506
.579
-.282
-.339
46
.862
.749
.254
1.611
.504
-.186
-.454
47
.137
.435
5.520
.425
5.567
.669
-2.152
48
.004
13.544
.003
25.421
3.669
2.179
-1.743
49
.994
.453
.078
.966
-.394
-.766
-.113
50
.095
6.360
17.255
3.390
.521
1.107
51
.984
.161
.313
.837
-.463
-.758
-.246
52
.758
.584
1.181
.244
2.927
.894
-.231
.998
53
.127
.791
5.702
.128
9.343
1.281
2.334
-.955
54
.829
.885
.229
2.337
.820
55
.040
8.327
20.529
3.047
2.006
1.152
56
.705
1.402
2.781
.545
1.142
-.247
57
4.031
5.578
.108
1.447
-1.669
58
.747
.430
1.224
.232
2.460
.381
.689
.609
59
.168
.610
5.049
.179
7.499
.286
2.231
60
2.669
3.616
-.783
1.382
-1.451
61
1(**)
.939
.293
-.672
.605
62
.874
.490
.694
.377
1.222
-.771
1.153
-.142
63
.643
1.671
.305
2.192
-.097
1.265
.189
64
.024
.704
9.398
.151
12.479
-.295
1.463
2.962
65
.066
.853
7.206
.102
11.443
-.971
2.571
1.840
66
.544
.763
2.137
5.848
.246
-2.114
-.588
67
.649
1.646
.219
3.942
-.592
-1.856
-.806
68
.596
.192
4.564
-.795
-2.034
-.654
69
.780
.726
1.086
.132
4.499
-1.822
-.221
70
.788
.713
3.711
-.578
-1.828
-.420
71
.936
.554
.421
.242
2.079
-.057
-1.181
-.452
72
2(**)
.784
.444
1.071
.363
1.474
.824
-.809
-.176
73
.697
.136
4.051
.217
-1.610
.279
74
.735
1.273
.207
2.887
.037
.124
-1.272
75
.914
.549
.524
.195
2.596
-.988
.586
76
.583
.106
.233
1.939
-.547
-1.211
77
.975
.218
.324
.727
-.445
-.694
78
.916
.555
.511
2.041
-.996
-1.250
-.035
79
.978
.602
.182
2.593
-.281
.478
80
.952
.567
.341
.175
2.690
-.135
-.994
.623
81
.433
.271
1.547
-.956
-.723
.517
82
.743
1.241
.320
1.572
-.630
83
.518
2.270
.283
3.051
-.306
-.389
1.475
84
.618
1.784
.260
3.102
-1.107
-.074
1.404
85
.645
.674
1.662
.277
3.439
-1.267
1.744
.203
86
.646
1.658
1.660
.408
.140
-1.041
87
.651
1.639
.186
4.252
-1.247
88
.982
.489
.174
1.435
-.101
-.904
89
.508
2.325
.176
4.863
-.259
-1.91
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