SPSS处理多重回归分析Word格式.doc
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=.100)。
3
投入高级职称的人年数
4
投入科研事业费(百元)
5
获奖数
6
论文数
a已输入所有请求的变量。
b因变量:
课题总数
模型摘要(g)
R
R方
调整的R方
估计的标准差
更改统计量
Durbin-Watson
R方更改
F更改
df1
df2
显著性F更改
.969(a)
.939
.924
231.5255
61.532
24
.000
.969(b)
.927
226.8644
.004
.953
.968(c)
.937
226.5820
-.002
.935
25
.343
.965(d)
.931
.923
232.0833
-.006
2.327
26
.139
.963(e)
.921
234.8694
-.004
1.676
27
.206
.959(f)
.919
.917
241.9582
-.007
2.777
28
.107
1.747
a预测变量:
(常量),获奖数,投入科研事业费(百元),论文数,专著数,投入人年数,投入高级职称的人年数。
b预测变量:
(常量),获奖数,投入科研事业费(百元),论文数,投入人年数,投入高级职称的人年数。
c预测变量:
(常量),获奖数,投入科研事业费(百元),论文数,投入人年数。
d预测变量:
(常量),获奖数,论文数,投入人年数。
e预测变量:
(常量),论文数,投入人年数。
f预测变量:
(常量),投入人年数。
g因变量:
ANOVA(g)
平方和
df
均方
F
显著性
19790312.879
3298385.480
.000(a)
残差
1286497.121
53604.047
合计
21076810.000
30
19790123.766
3958024.753
76.903
.000(b)
1286686.234
51467.449
19741985.311
4935496.328
96.135
.000(c)
1334824.689
51339.411
19622518.608
6540839.536
121.436
.000(d)
1454291.392
53862.644
19532228.232
9766114.116
177.039
.000(e)
1544581.768
55163.635
19379040.047
331.018
.000(f)
1697769.953
29
58543.791
系数(a)
非标准化系数
标准化系数
t
B的95%置信区间
相关性
共线性统计量
B
标准误
Beta
下限
上限
零阶
偏
部分
容差
VIF
(常量)
-35.313
76.580
-.461
.649
-193.367
122.740
投入人年数
.698
.208
1.361
3.352
.003
.268
1.128
.959
.565
.169
.015
64.811
-.467
.626
-.464
-.747
.463
-1.759
.824
.944
-.151
-.038
.007
151.824
.002
.237
1.601
.122
-.001
.862
.311
.081
.117
8.576
.022
.377
.014
.059
-.755
.800
.868
.012
.046
21.875
-.064
.053
-.252
-1.198
.243
-.173
.887
-.238
-.060
.058
17.384
.712
.503
.119
1.416
.170
-.326
1.751
.665
.278
.071
.358
2.796
-36.246
73.442
-.494
-187.504
115.011
.692
.176
1.349
3.932
.001
.329
1.054
.618
.194
.021
48.202
-.443
.458
-.439
-.967
-1.385
.500
-.190
-.048
84.526
.240
1.778
.088
.006
.335
.134
7.446
.052
-.253
-1.230
.230
-.170
.043
-.239
-.061
17.299
.701
.453
1.548
-.232
1.633
.296
.076
.424
2.358
-29.791
73.047
-.408
.687
-179.942
120.360
.553
.102
1.079
5.411
.764
.728
.267
.061
16.325
.152
1.525
.287
.075
.246
4.069
-.088
.045
-.348
-1.934
.064
-.181
-.355
-.095
13.309
.716
.452
.120
1.586
.125
-.212
1.645
.297
.078
.425
2.355
-63.385
71.340
-.889
.382
-209.762
82.991
.644
.085
1.255
7.527
.468
.819
.823
.380
.092
10.876
-.096
-.381
-2.081
.047
-.191
-.372
-.105
13.119
.589
.455
.099
1.295
-.344
1.522
.242
.065
.440
2.274
-67.925
72.109
-.942
.354
-215.633
79.783
.628
.086
1.224
7.330
.803
.811
.375
.094
10.650
-.070
.042
-.278
-1.666
-.156
.016
-.300
-.085
-94.524
72.442
-1.305
.202
-242.685
53.637
.492
.027
18.194
.436
.547
1.000
a因变量:
系数相关(a)
-.310
.396
.181
.347
-.363
.057
-.226
.070
.017
-.404
.506
-.666
-.860
协方差
.253
-4.396E-05
-.008
.019
-.075
3.377E-06
3.383E-05
2.163E-05
-.013
.142
.040
-.157
-.112
.392
.112
-.369
-.025
.036
.401
.299
-.673
-.022
-.480
-.813
.205
8.537E-05
-.009
.008
2.815E-06
3.486E-05
8.828E-05
-.011
.031
-.065
.209
.185
-.401
-.578
-.807
.204
1.535E-06
6.719E-06
-7.320E-05
.010
-.434
.144
-.911
.207
-.952
-.003
共线性诊断(a)
维
特征值
条件索引
方差比例
6.137
.01
.00
3.684
.33
.03
.04
.294
4.572
.32
.39
.073
9.142
.26
.06
.29
.028
14.719
.09
.37
.55
.02
.15
21.020
.12
.17
.82
7
58.796
.84
.98
.44
.10
.05
5.247
3.706
.52
.280
4.325
.16
8.466
.41
.38
19.403
.18
.14
.80
41.788
.97
.35
4.273
.369
3.401
.54
.13
.277
3.925
.067
7.987
.31
.07
.59
.013
18.195
.93
.87
3.514
.314
3.346
.73
.22
.157
4.727
.23
.65
15.232
.11
2.732
.251
3.299
.95
12.725
1.800
.200
3.001
.90
已排除的变量(f)
BetaIn
偏相关
最小容差
.014(a)
-.103(b)
-.592
.559
-.118
.082
12.179
-.439(b)
.080(c)
.632
.533
.123
.164
6.091
.104(c)
.767
46.195
.152(c)
.016(d)
.131
.897
.025
.188
5.314
.0