第一章
1.1
Frequencies
x
N
S t a t i s t i c s
Valid
Missing
Mean
Median
Std. Deviation
Variance
Skewness
Std. Error of Skewness
Kurtosis
Std. Error of Kurtosis
Percentiles
25
50
75
60
0
139.0000
139.0000
7.06387
49.898
-.510
.309
-.126
.608
135.0000
139.0000
144.7500
x
Frequency
Percent
Valid Percent
Cumulative
Percent
1
1
1
1
2
1
2
3
2
3
1
5
4
5
1
2
6
2
2
2
3
4
1
3
1
1
60
1.7
1.7
1.7
1.7
3.3
1.7
3.3
5.0
3.3
5.0
1.7
8.3
6.7
8.3
1.7
3.3
10.0
3.3
3.3
3.3
5.0
6.7
1.7
5.0
1.7
1.7
100.0
1.7
1.7
1.7
1.7
3.3
1.7
3.3
5.0
3.3
5.0
1.7
8.3
6.7
8.3
1.7
3.3
10.0
3.3
3.3
3.3
5.0
6.7
1.7
5.0
1.7
1.7
100.0
1.7
3.3
5.0
6.7
10.0
11.7
15.0
20.0
23.3
28.3
30.0
38.3
45.0
53.3
55.0
58.3
68.3
71.7
75.0
78.3
83.3
90.0
91.7
96.7
98.3
100.0
Valid
120.00
123.00
126.00
127.00
128.00
129.00
131.00
132.00
134.00
135.00
136.00
137.00
138.00
139.00
140.00
141.00
142.00
143.00
144.00
145.00
146.00
147.00
148.00
149.00
150.00
151.00
Total
Explore
C a s e P r o c e s s i n g S u m m a r y
Valid
Cases
Missing
Total
N
60
Percent
100.0%
N
Percent
N
0
.0%
60
Percent
100.0%
H isto g ra m
x
x
y
c
n
e
u
q
e
r
F
10
8
6
4
2
0
120.00
130.00
140.00
150.00
x
x Stem-and-Leaf Plot
Stem &
Frequency
1.00 Extremes
1.00
5.00
7.00
18.00
13.00
13.00
2.00
12 .
12 .
13 .
13 .
14 .
14 .
15 .
Leaf
(=<120)
3
67889
1122244
555677777888899999
0112222223344
5566677778999
01
Stem width:
Each leaf:
10.00
1 case(s)
M ean = 139.00
S td. D ev. = 7.06387
N = 60
150.00
140.00
130.00
120.00
Correlations
42
x
C o r r e l a t i o n s
x1
x2
x1
x2
x3
x4
x5
x6
Pearson Correlation
Sig. (2-tailed)
N
Pearson Correlation
Sig. (2-tailed)
N
Pearson Correlation
Sig. (2-tailed)
N
Pearson Correlation
Sig. (2-tailed)
N
Pearson Correlation
Sig. (2-tailed)
N
Pearson Correlation
Sig. (2-tailed)
N
1
20
.870**
.000
20
-.366
.113
20
-.390
.089
20
-.493*
.027
20
-.226
.337
20
.870**
.000
20
1
20
-.353
.127
20
-.552*
.012
20
-.646**
.002
20
-.191
.419
20
x3
-.366
.113
20
-.353
.127
20
1
20
.151
.526
20
.225
.340
20
.035
.884
20
x4
-.390
.089
20
x5
-.493*
.027
20
-.552*
-.646**
.012
20
.151
.526
20
1
20
.696**
.001
20
.496*
.026
20
.002
20
.225
.340
20
.696**
.001
20
1
20
.669**
.001
20
x6
-.226
.337
20
-.191
.419
20
.035
.884
20
.496*
.026
20
.669**
.001
20
1
20
**.
Correlation is significant at the 0.01 level (2-tailed).
*.
Correlation is significant at the 0.05 level (2-tailed).
Nonparametric Correlations
C o r r e l a t i o n s
Spearman's rho
x1
x2
x3
x4
x5
x6
x1
x3
1.000
.
20
Correlation Coefficient
Sig. (2-tailed)
N
Correlation Coefficient
Sig. (2-tailed)
N
Correlation Coefficient
Sig. (2-tailed)
N
Correlation Coefficient
Sig. (2-tailed)
N
Correlation Coefficient
Sig. (2-tailed)
N
Correlation Coefficient
Sig. (2-tailed)
N
x2
.814** -.371
.000
.108
20
20
-.238
.814** 1.000
.000
.
.313
20
20
20
1.000
-.238
-.371
.108
.313
.
20
20
20
.137
-.380
.098
.566
20
20
-.578** -.725** .179
.450
20
.098
.680
20
.008
20
-.199
.400
20
.000
20
-.199
.399
20
.014
20
-.542*
x4
x5
x6
.008
20
-.380
.098
20
.000
20
.179
.450
20
.014
20
.137
.566
20
1.000
.
20
-.578** -.199
.400
20
-.542* -.725** -.199
.399
20
.098
.680
20
.656** .323
.002
.165
20
20
.656** 1.000
.
.002
20
20
.323
.165
20
.695**
.001
20
.695** 1.000
.
.001
20
20
**.
Correlation is significant at the 0.01 level (2-tailed).
*.
Correlation is significant at the 0.05 level (2-tailed).
3.5
Regression
V a r i a b l e s E n t e r e d / R e m o v e db
Variables
Variables
Model
1
Entered
Removed
Method
xi3, xi2, xi1
a
.
Enter
a.
All requested variables entered.
b.
Dependent Variable: yi
M o d e l S u m m a r y
Model
1
R
.954a
R Square
.911
Adjusted
R Square
.897
Std. Error of
the Estimate
1.75276
a.
Predictors: (Constant), xi3, xi2, xi1
Model
1
Regression
Residual
Total
Sum of
Squares
627.817
61.443
689.260
A N O V A b
df
3
20
23
a.
Predictors: (Constant), xi3, xi2, xi1
b.
Dependent Variable: yi
Mean Square
209.272
3.072
F
68.119
Sig.
.000a
C o e f f i c i e n t sa
Model
1
Unstandardized
Coefficients
B
(Constant)
xi1
xi2
xi3
17.847
1.103
.322
1.289
Std. Error
2.002
.330
.037
.298
Standardized
Coefficients
Beta
.260
.659
.307
t
8.915
3.347
8.664
4.318
Sig.
.000
.003
.000
.000
a.
Dependent Variable: yi