Tugas Praktikum Komputer SPSS 2
Regression
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Notes
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Output Created
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14-APR-2016
08:47:10
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Comments
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Input
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Active Dataset
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DataSet0
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Filter
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<none>
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Weight
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<none>
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Split File
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<none>
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N of Rows in Working
Data File
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20
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Missing Value
Handling
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Definition of
Missing
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User-defined missing
values are treated as missing.
|
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Cases Used
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Statistics are based
on cases with no missing values for any variable used.
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Syntax
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REGRESSION
/MISSING LISTWISE
/STATISTICS COEFF OUTS R ANOVA COLLIN TOL
CHANGE
/CRITERIA=PIN(.05) POUT(.10)
/NOORIGIN
/DEPENDENT Nilai
/METHOD=ENTER Umur Tinggi
/SCATTERPLOT=(*SRESID ,*ZPRED)
/RESIDUALS NORMPROB(ZRESID).
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Resources
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Processor Time
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00:00:08,89
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Elapsed Time
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00:00:09,81
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Memory Required
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1804 bytes
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Additional Memory
Required for Residual Plots
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560 bytes
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[DataSet0]
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Variables
Entered/Removeda
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|||
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Model
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Variables
Entered
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Variables
Removed
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Method
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1
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Tinggi Badan Siswa,
Umur Siswab
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.
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Enter
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a. Dependent
Variable: Nilai Siswa
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b. All requested
variables entered.
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Model
Summaryb
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||||||
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Model
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R
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R
Square
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Adjusted
R Square
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Std.
Error of the Estimate
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Change
Statistics
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R
Square Change
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F
Change
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|||||
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1
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,522a
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,273
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,187
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4,22314
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,273
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3,185
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Model
Summaryb
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|||
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Model
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Change
Statistics
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||
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df1
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df2
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Sig.
F Change
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1
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2a
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17
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,067
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a. Predictors:
(Constant), Tinggi Badan Siswa, Umur Siswa
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b. Dependent
Variable: Nilai Siswa
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ANOVAa
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||||||
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Model
|
Sum
of Squares
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df
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Mean
Square
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F
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Sig.
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1
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Regression
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113,607
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2
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56,803
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3,185
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,067b
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Residual
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303,193
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17
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17,835
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|
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Total
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416,800
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19
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|
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a. Dependent
Variable: Nilai Siswa
|
|
b. Predictors:
(Constant), Tinggi Badan Siswa, Umur Siswa
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Coefficientsa
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||||||
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Model
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Unstandardized
Coefficients
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Standardized
Coefficients
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t
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Sig.
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B
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Std.
Error
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Beta
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||||
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1
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(Constant)
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83,089
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48,064
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1,729
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,102
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Umur Siswa
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2,782
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2,496
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,244
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1,115
|
,281
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|
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Tinggi Badan Siswa
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-,350
|
,140
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-,548
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-2,504
|
,023
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|
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Coefficientsa
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|||
|
Model
|
Collinearity
Statistics
|
||
|
Tolerance
|
VIF
|
||
|
1
|
(Constant)
|
|
|
|
Umur Siswa
|
,894
|
1,118
|
|
|
Tinggi Badan Siswa
|
,894
|
1,118
|
|
|
a. Dependent
Variable: Nilai Siswa
|
|
Collinearity
Diagnosticsa
|
||||||
|
Model
|
Dimension
|
Eigenvalue
|
Condition
Index
|
Variance
Proportions
|
||
|
(Constant)
|
Umur
Siswa
|
Tinggi
Badan Siswa
|
||||
|
1
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1
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2,999
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1,000
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,00
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,00
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,00
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2
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,001
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49,820
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,06
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,04
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,98
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3
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,000
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124,575
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,94
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,96
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,02
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a. Dependent
Variable: Nilai Siswa
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Residuals
Statisticsa
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|||||
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Minimum
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Maximum
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Mean
|
Std.
Deviation
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N
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Predicted Value
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79,2944
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88,0212
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83,4000
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2,44526
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20
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Std. Predicted Value
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-1,679
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1,890
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,000
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1,000
|
20
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Standard Error of
Predicted Value
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1,060
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2,653
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1,536
|
,577
|
20
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Adjusted Predicted
Value
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77,5923
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86,7313
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83,3365
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2,32583
|
20
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Residual
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-6,79106
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6,70563
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,00000
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3,99469
|
20
|
|
Std. Residual
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-1,608
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1,588
|
,000
|
,946
|
20
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Stud. Residual
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-1,662
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1,778
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,007
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1,013
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20
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Deleted Residual
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-7,25838
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8,40775
|
,06348
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4,61112
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20
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Stud. Deleted
Residual
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-1,762
|
1,912
|
,006
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1,040
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20
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Mahal. Distance
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,247
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6,548
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1,900
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2,220
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20
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Cook's Distance
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,000
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,267
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,053
|
,063
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20
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Centered Leverage
Value
|
,013
|
,345
|
,100
|
,117
|
20
|
|
a. Dependent
Variable: Nilai Siswa
|
Charts
REGRESSION
/MISSING LISTWISE
/STATISTICS COEFF
OUTS R ANOVA COLLIN TOL CHANGE
/CRITERIA=PIN(.05)
POUT(.10)
/NOORIGIN
/DEPENDENT Nilai
/METHOD=ENTER Umur
Tinggi
/SCATTERPLOT=(*SRESID ,*ZPRED)
/RESIDUALS
NORMPROB(ZRESID).
Regression
|
Notes
|
||
|
Output Created
|
14-APR-2016
08:47:41
|
|
|
Comments
|
|
|
|
Input
|
Active Dataset
|
DataSet0
|
|
Filter
|
<none>
|
|
|
Weight
|
<none>
|
|
|
Split File
|
<none>
|
|
|
N of Rows in Working
Data File
|
20
|
|
|
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
CHANGE
/CRITERIA=PIN(.05) POUT(.10)
/NOORIGIN
/DEPENDENT Nilai
/METHOD=ENTER Umur Tinggi
/SCATTERPLOT=(*SRESID ,*ZPRED)
/RESIDUALS NORMPROB(ZRESID).
|
|
|
Resources
|
Processor Time
|
00:00:02,56
|
|
Elapsed Time
|
00:00:02,68
|
|
|
Memory Required
|
1804 bytes
|
|
|
Additional Memory
Required for Residual Plots
|
560 bytes
|
|
[DataSet0]
|
Variables
Entered/Removeda
|
|||
|
Model
|
Variables
Entered
|
Variables
Removed
|
Method
|
|
1
|
Tinggi Badan Siswa,
Umur Siswab
|
.
|
Enter
|
|
a. Dependent
Variable: Nilai Siswa
|
|
b. All requested
variables entered.
|
|
Model
Summaryb
|
||||||
|
Model
|
R
|
R
Square
|
Adjusted
R Square
|
Std.
Error of the Estimate
|
Change
Statistics
|
|
|
R
Square Change
|
F
Change
|
|||||
|
1
|
,522a
|
,273
|
,187
|
4,22314
|
,273
|
3,185
|
|
Model
Summaryb
|
|||
|
Model
|
Change
Statistics
|
||
|
df1
|
df2
|
Sig.
F Change
|
|
|
1
|
2a
|
17
|
,067
|
|
a. Predictors:
(Constant), Tinggi Badan Siswa, Umur Siswa
|
|
b. Dependent
Variable: Nilai Siswa
|
|
ANOVAa
|
||||||
|
Model
|
Sum
of Squares
|
df
|
Mean
Square
|
F
|
Sig.
|
|
|
1
|
Regression
|
113,607
|
2
|
56,803
|
3,185
|
,067b
|
|
Residual
|
303,193
|
17
|
17,835
|
|
|
|
|
Total
|
416,800
|
19
|
|
|
|
|
|
a. Dependent
Variable: Nilai Siswa
|
|
b. Predictors:
(Constant), Tinggi Badan Siswa, Umur Siswa
|
|
Coefficientsa
|
||||||
|
Model
|
Unstandardized
Coefficients
|
Standardized
Coefficients
|
t
|
Sig.
|
||
|
B
|
Std.
Error
|
Beta
|
||||
|
1
|
(Constant)
|
83,089
|
48,064
|
|
1,729
|
,102
|
|
Umur Siswa
|
2,782
|
2,496
|
,244
|
1,115
|
,281
|
|
|
Tinggi Badan Siswa
|
-,350
|
,140
|
-,548
|
-2,504
|
,023
|
|
|
Coefficientsa
|
|||
|
Model
|
Collinearity
Statistics
|
||
|
Tolerance
|
VIF
|
||
|
1
|
(Constant)
|
|
|
|
Umur Siswa
|
,894
|
1,118
|
|
|
Tinggi Badan Siswa
|
,894
|
1,118
|
|
|
a. Dependent
Variable: Nilai Siswa
|
|
Collinearity
Diagnosticsa
|
||||||
|
Model
|
Dimension
|
Eigenvalue
|
Condition
Index
|
Variance
Proportions
|
||
|
(Constant)
|
Umur
Siswa
|
Tinggi
Badan Siswa
|
||||
|
1
|
1
|
2,999
|
1,000
|
,00
|
,00
|
,00
|
|
2
|
,001
|
49,820
|
,06
|
,04
|
,98
|
|
|
3
|
,000
|
124,575
|
,94
|
,96
|
,02
|
|
|
a. Dependent
Variable: Nilai Siswa
|
|
Residuals
Statisticsa
|
|||||
|
|
Minimum
|
Maximum
|
Mean
|
Std.
Deviation
|
N
|
|
Predicted Value
|
79,2944
|
88,0212
|
83,4000
|
2,44526
|
20
|
|
Std. Predicted Value
|
-1,679
|
1,890
|
,000
|
1,000
|
20
|
|
Standard Error of
Predicted Value
|
1,060
|
2,653
|
1,536
|
,577
|
20
|
|
Adjusted Predicted
Value
|
77,5923
|
86,7313
|
83,3365
|
2,32583
|
20
|
|
Residual
|
-6,79106
|
6,70563
|
,00000
|
3,99469
|
20
|
|
Std. Residual
|
-1,608
|
1,588
|
,000
|
,946
|
20
|
|
Stud. Residual
|
-1,662
|
1,778
|
,007
|
1,013
|
20
|
|
Deleted Residual
|
-7,25838
|
8,40775
|
,06348
|
4,61112
|
20
|
|
Stud. Deleted
Residual
|
-1,762
|
1,912
|
,006
|
1,040
|
20
|
|
Mahal. Distance
|
,247
|
6,548
|
1,900
|
2,220
|
20
|
|
Cook's Distance
|
,000
|
,267
|
,053
|
,063
|
20
|
|
Centered Leverage
Value
|
,013
|
,345
|
,100
|
,117
|
20
|
|
a. Dependent
Variable: Nilai Siswa
|
Charts
diposting oleh Unknown @ 02.41
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