REGRESSION /MISSING LISTWISE /STATISTICS COEFF OUTS R ANOVA COLLIN TOL /CRITERIA=PIN(.05) POUT(.10) /NOORIGIN /DEPENDENT X /METHOD=ENTER Y /RESIDUALS DURBIN NORM(ZRESID) /SAVE RESID SDRESID.
Data
X
Y
RES_1
SDR_1
5.00
60.00
-1.27778
-.15458
5.00
52.00
-3.83333
-.45980
5.00
50.00
-4.47222
-.55619
5.00
48.00
-5.11111
-.67258
5.00
50.00
-4.47222
-.55619
28.00
50.00
18.52778
5.00
66.00
.63889
.09436
5.00
64.00
.00000
.00000
Regression
Notes
Output Created
29-Oct-2015 09:33:33
Comments
Input
Active Dataset
DataSet0
Filter
Weight
Split File
N of Rows in Working Data File
8
Missing Value Handling
Definition of Missing
User-defined missing values are treated as missing.
Cases Used
Statistics are based on cases with no missing values for any variable used.
Syntax
REGRESSION
/MISSING LISTWISE
/STATISTICS COEFF OUTS R ANOVA COLLIN TOL
/CRITERIA=PIN(.05) POUT(.10)
/NOORIGIN
/DEPENDENT X
/METHOD=ENTER Y
/RESIDUALS DURBIN NORM(ZRESID)
/SAVE RESID SDRESID.
Resources
Processor Time
0:00:02.496
Elapsed Time
0:00:02.807
Memory Required
1356 bytes
Additional Memory Required for Residual Plots
312 bytes
Variables Created or Modified
RES_1
Unstandardized Residual
SDR_1
Studentized Deleted Residual
[DataSet0]
Variables Entered/Removedb
Model
Variables Entered
Variables Removed
Method
1
Ya
.
Enter
a. All requested variables entered.
b. Dependent Variable: X
Model Summaryb
Model
R
R Square
Adjusted R Square
Std. Error of the Estimate
Durbin-Watson
1
.282a
.079
-.074
8.42752
2.011
a. Predictors: (Constant), Y
b. Dependent Variable: X
ANOVAb
Model
Sum of Squares
df
Mean Square
F
Sig.
1
Regression
36.736
1
36.736
.517
.499a
Residual
426.139
6
71.023
Total
462.875
7
a. Predictors: (Constant), Y
b. Dependent Variable: X
Coefficientsa
Model
Unstandardized Coefficients
Standardized Coefficients
B
Std. Error
Beta
t
Sig.
1
(Constant)
25.444
24.610
1.034
.341
Y
-.319
.444
-.282
-.719
.499
a. Dependent Variable: X
Coefficientsa
Model
Collinearity Statistics
Tolerance
VIF
1
Y
1.000
1.000
a. Dependent Variable: X
Collinearity Diagnosticsa
Model
Dimension
Variance Proportions
Eigenvalue
Condition Index
(Constant)
Y
1
1
1.993
1.000
.00
.00
2
.007
16.459
1.00
1.00
a. Dependent Variable: X
Residuals Statisticsa
Minimum
Maximum
Mean
Std. Deviation
N
Predicted Value
4.3611
10.1111
7.8750
2.29085
8
Std. Predicted Value
-1.534
.976
.000
1.000
8
Standard Error of Predicted Value
3.264
5.723
4.143
.822
8
Adjusted Predicted Value
3.8144
11.9173
7.8664
3.11729
8
Residual
-5.11111
18.52778
.00000
7.80237
8
Std. Residual
-.606
2.198
.000
.926
8
Stud. Residual
-.706
2.449
.000
1.034
8
Deleted Residual
-6.91729
23.00000
.00860
9.73030
8
Stud. Deleted Residual
-.673
.094
-.329
.304
7
Mahal. Distance
.175
2.353
.875
.734
8
Cook's Distance
.000
.724
.116
.248
8
Centered Leverage Value
.025
.336
.125
.105
8
a. Dependent Variable: X
Charts
SAVE TRANSLATE OUTFILE='C:\Users\Acer\Documents\Yuli\data regresi suhu dingin.xls' /TYPE=XLS /VERSION=2 /MAP /REPLACE /FIELDNAMES. Data written to C:\Users\Acer\Documents\Yuli\data regresi suhu dingin.xls. 4 variables and 8 cases written to range: SPSS. Variable: X Type: Number Width: 8 Dec: 2 Variable: Y Type: Number Width: 8 Dec: 2 Variable: RES_1 Type: Number Width: 11 Dec: 5 Variable: SDR_1 Type: Number Width: 11 Dec: 5
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