（菜鸟求教）SPSS处理之后，模型拟合OK，但自变量不显著，怎么办？ - SPSS论坛

2关注
0粉丝

小学生

85%

还不是VIP/贵宾

-

0%

威望: 0 级
论坛币: 0 个
通用积分: 0
学术水平: 0 点
热心指数: 0 点
信用等级: 0 点
经验: 449 点
帖子: 12
精华: 0
在线时间: 7 小时
注册时间: 2009-10-17
最后登录: 2016-6-2

楼主

eliza2009 发表于 2011-11-15 17:34:57 |AI写论文

11论坛币

菜鸟一只，用SPSS做LOGISTIC分析，出结果了，貌似模型拟合程度很好，但自变量不显著……（我取了15个自变量，只有7个Sig值小于0.05）
详细结果请见附件。
接下来该怎么办呢？
另外，Sig值大于0.05，那么前面所得的B值，即回归方程中自变量前面的系数，是不是也没法用了？

非常感谢各位不吝赐教！

分享0 收藏0 回帖

关键词：SPSS 模型拟合自变量怎么办 PSS 怎么办模型自变量

回帖推荐

llulla 发表于14楼查看完整内容

其实,这是统计学配合多元回归模型每次都会遇到的问题. 对于你配合的模型,其配合的效果已经很好了.值得提出的是,对于15个自变量来说, 实际数据中, 不会是每个自变量都有统计学意义(P

本帖被以下文库推荐

· SPSS精彩问答|主题: 2176, 订阅: 25

读书，读书，要读很多的书。。。

沙发

eliza2009 发表于 2011-11-15 17:35:54

附件怎么看不到！！

读书，读书，要读很多的书。。。

藤椅

eliza2009 发表于 2011-11-15 17:36:37

Case Processing Summary
Unweighted Casesa N Percent
Selected Cases Included in Analysis 124 46.8
Missing Cases 141 53.2
Total 265 100.0
Unselected Cases 0 .0
Total 265 100.0
a. If weight is in effect, see classification table for the total number of cases.

Dependent Variable Encoding
Original Value Internal Value
1 0
2 1

Block 0: Beginning Block

Classification Tablea,b
Observed Predicted
马上利用 Percentage Correct
1 2
Step 0 利用 1 98 0 100.0
2 26 0 .0
Overall Percentage 79.0
a. Constant is included in the model.
b. The cut value is .500

Variables in the Equation
B S.E. Wald df Sig. Exp(B)
Step 0 Constant -1.327 .221 36.177 1 .000 .265

Variables not in the Equation
Score df Sig.
Step 0 Variables X1 .584 1 .445
X2 .005 1 .946
X3 .163 1 .686
X4 2.295 1 .130
X5 .015 1 .902
X6 1.622 1 .203
X7 .148 1 .700
X8 .010 1 .920
X9 49.219 1 .000
X10 1.403 1 .236
X11 .039 1 .843
X12 .465 1 .495
X13 .363 1 .547
X14 .708 1 .400
X15 5.841 1 .016
Overall Statistics 63.303 15 .000

读书，读书，要读很多的书。。。

板凳

eliza2009 发表于 2011-11-15 17:37:00

Block 1: Method = Enter

Omnibus Tests of Model Coefficients
Chi-square df Sig.
Step 1 Step 76.826 15 .000
Block 76.826 15 .000
Model 76.826 15 .000

Model Summary
Step -2 Log likelihood Cox & Snell R Square Nagelkerke R Square
1 50.529a .462 .719
a. Estimation terminated at iteration number 8 because parameter estimates changed by less than .001.

Hosmer and Lemeshow Test
Step Chi-square df Sig.
1 3.632 8 .889

Contingency Table for Hosmer and Lemeshow Test
马上利用 = 1 马上利用 = 2 Total
Observed Expected Observed Expected
Step 1 1 13 12.999 0 .001 13
2 12 11.993 0 .007 12
3 12 11.966 0 .034 12
4 12 11.915 0 .085 12
5 12 11.776 0 .224 12
6 11 11.364 1 .636 12
7 10 11.518 3 1.482 13
8 10 8.852 2 3.148 12
9 6 5.147 6 6.853 12
10 0 .470 14 13.530 14

Classification Tablea
Observed Predicted
马上利用 Percentage Correct
1 2
Step 1 利用 1 92 6 93.9
2 7 19 73.1
Overall Percentage 89.5
a. The cut value is .500

Variables in the Equation
B S.E. Wald df Sig. Exp(B) 95.0% C.I.for EXP(B)
Lower Upper
Step 1a X1 3.212 1.518 4.475 1 .034 24.826 1.266 486.799
X2 -6.279 2.239 7.867 1 .005 .002 .000 .151
X3 -.566 1.033 .300 1 .584 .568 .075 4.304
X4 -8.926 2.956 9.118 1 .003 .000 .000 .044
X5 -.464 1.144 .165 1 .685 .629 .067 5.923
X6 -.139 1.082 .016 1 .898 .870 .104 7.259
X7 -.985 1.568 .395 1 .530 .373 .017 8.069
X8 1.977 1.217 2.640 1 .104 7.219 .665 78.350
X9 -10.836 2.840 14.558 1 .000 .000 .000 .005
X10 -1.839 .773 5.662 1 .017 .159 .035 .723
X11 3.235 2.785 1.349 1 .245 25.395 .108 5.962E3
X12 1.684 .917 3.374 1 .066 5.388 .893 32.494
X13 7.092 2.600 7.439 1 .006 1.202E3 7.357 1.964E5
X14 -.890 1.068 .695 1 .405 .411 .051 3.331
X15 4.076 1.652 6.086 1 .014 58.929 2.311 1.503E3
Constant 1.133 3.045 .138 1 .710 3.105
a. Variable(s) entered on step 1: X1、X2、X3、X4、X5、X6、X7、X8、X9、X10、X11、X12、X13、X14、X15

         Step number: 1

         Observed Groups and Predicted Probabilities

   80 ┼                                                                                                 ┼
      │                                                                                                 │
      │                                                                                                 │
F       │                                                                                                 │
R    60 ┼                                                                                                 ┼
E       │                                                                                                 │
Q       │1                                                                                                 │
U       │1                                                                                                 │
E    40 ┼1                                                                                                 ┼
N       │1                                                                                                 │
C       │1                                                                                                 │
Y       │1                                                                                                 │
   20 ┼1                                                                                                 ┼
      │1                                                                                                 │
      │11                                                                                              2│
      │111  1 1 1    2 1                                     2                                     2│
Predicted ─────────┼─────────┼─────────┼─────────┼─────────┼─────────┼─────────┼─────────┼─────────┼──────────
  Prob: 0    .1       .2       .3       .4       .5       .6       .7       .8       .9       1
  Group:  1111111111111111111111111111111111111111111111111122222222222222222222222222222222222222222222222222

      Predicted Probability is of Membership for 2
      The Cut Value is .50
      Symbols: 1 - 1
               2 - 2
      Each Symbol Represents 5 Cases.

读书，读书，要读很多的书。。。