77
No Nama Kab/Kota a Alokasi Umum Dana Alokasi Khusus Dana Bagi Hasil PAD Dana Otonomi Khusus Belanja Daerah
2008 2009 2010 2008 2009 2010 2008 2009 2010 2008 2009 2010 2008 2009 2010 2008 2009 2010 1
Sumber : BPS Provinsi Aceh 2012
Lampiran 1
Deskripsi Statistik
DESCRIPTIVES VARIABLES=DAU DAK DBH PAD Otsus BD /STATISTICS=MEAN STDDEV
MIN MAX.
Descriptives
Notes
Output Created 06-May-2013 22:41:26
Comments
Input Active Dataset DataSet0
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data File
69
Missing Value Handling
Definition of Missing User defined missing values are treated as missing.
Cases Used All non-missing data are used.
Syntax DESCRIPTIVES VARIABLES=DAU
DAK DBH PAD Otsus BD
/STATISTICS=MEAN STDDEV MIN MAX.
Resources Processor Time 0:00:00.000
Elapsed Time 0:00:00.016
[DataSet0]
Descriptive Statistics
N Minimum Maximum Mean Std. Deviation
DAU 69 87982.00 447302.00 269140.5652 74547.28631
DAK 69 7794.00 66590.00 39339.9130 11465.24886
DBH 69 20280.00 447244.00 52753.2609 66545.68814
PAD 69 1515.00 79925.00 17310.0145 15755.78066
Otsus 69 46.00 169.00 95.5652 28.51237
BD 69 152640.00 1348719.00 443050.3333 1.93815E5
79
Lampiran 3
Uji Normalitas Hipotesis Pertama
REGRESSION /MISSING LISTWISE /STATISTICS COEFF OUTS R ANOVA
/CRITERIA=PIN(.05) POUT(.10) /NOORIGIN /DEPENDENT BD /METHOD=ENTER DAU
DAK DBH PAD /SCATTERPLOT=(BD ,*ZRESID) /RESIDUALS HIST(ZRESID) NORM(ZRESID)
/SAVE ZRESID.
Regression
Notes
Output Created 28-May-2013 22:12:56
Comments
Input Active Dataset DataSet0
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data File 69
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 /CRITERIA=PIN(.05) POUT(.10)
/NOORIGIN
/DEPENDENT BD
/METHOD=ENTER DAU DAK DBH PAD
/SCATTERPLOT=(BD ,*ZRESID)
/RESIDUALS HIST(ZRESID) NORM(ZRESID)
/SAVE ZRESID.
Resources Processor Time 0:00:01.469
Elapsed Time 0:00:01.500
Memory Required 2308 bytes
Additional Memory Required
for Residual Plots
888 bytes
Variables Entered/Removed
Model Variables Entered
Variables
Removed Method
1 PAD, DAK, DAU,
DBHa . Enter
a. All requested variables entered.
Model Summaryb
a. Predictors: (Constant), PAD, DAK, DAU, DBH
b. Dependent Variable: BD
ANOVAb
a. Predictors: (Constant), PAD, DAK, DAU, DBH
b. Dependent Variable: BD
Coefficientsa
Model
Unstandardized Coefficients Standardized Coefficients
B Std. Error Beta t Sig.
1
(Constant) 19531.076 30882.755 .632 .529
DAU .861 .130 .331 6.639 .000
DAK .844 .815 .050 1.036 .304
81
PAD 3.568 .669 .290 5.335 .000
a. Dependent Variable: BD
Residuals Statisticsa
Minimum Maximum Mean Std.
Deviation N
Predicted Value 149533.0781 1.3598E6 443050.3333 1.84675E5 69
Residual -1.92663E5 2.71740E5 .00000 58818.4887
2 69
Std. Predicted Value -1.589 4.964 .000 1.000 69
Std. Residual -3.178 4.482 .000 .970 69
a. Dependent Variable: BD
83
NPAR TESTS /K-S(NORMAL)=ZRE_1 /MISSING ANALYSIS.
NPar Tests
Notes
Output Created 28-May-2013 22:13:35
Comments
Input Active Dataset DataSet0
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data
File
69
Missing Value
Handling
Definition of Missing User-defined missing values are
treated as missing.
Cases Used Statistics for each test are based on all
cases with valid data for the
variable(s) used in that test.
Syntax NPAR TESTS
/K-S(NORMAL)=ZRE_1
/MISSING ANALYSIS.
Resources Processor Time 0:00:00.000
Elapsed Time 0:00:00.000
Number of Cases Alloweda 196608
a. Based on availability of workspace memory.
[DataSet0]
One-Sample Kolmogorov-Smirnov Test
Standardized
Residual
N 69
Normal Parametersa,,b Mean .0000000
Positive .089
Negative -.088
Kolmogorov-Smirnov Z .739
Asymp. Sig. (2-tailed) .646
a. Test distribution is Normal.
79
Lampiran 4
Uji Multikolinearitas dan Autokorelasi Hipotesis Pertama
REGRESSION /MISSING LISTWISE /STATISTICS COEFF OUTS R ANOVA COLLIN TOL
/CRITERIA=PIN(.05) POUT(.10) /NOORIGIN /DEPENDENT BD /METHOD=ENTER DAU
DAK DBH PAD /SCATTERPLOT=(BD ,*ZRESID) /RESIDUALS HIST(ZRESID) NORM(ZRESID)
/SAVE ZRESID.
Regression
Notes
Output Created 28-May-2013 22:20:22
Comments
Input Active Dataset DataSet0
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data File 69
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 BD
/METHOD=ENTER DAU DAK DBH
PAD
/SCATTERPLOT=(BD ,*ZRESID)
/RESIDUALS HIST(ZRESID)
NORM(ZRESID)
Resources Processor Time 0:00:01.500
Elapsed Time 0:00:01.577
Memory Required 2308 bytes
Additional Memory Required for
Residual Plots
888 bytes
Variables Created or
Modified
ZRE_1 Standardized Residual
[DataSet0]
Removed Method
1 PAD, DAK, DAU,
DBHa
. Enter
a. All requested variables entered.
Model Summaryb
a. Predictors: (Constant), PAD, DAK, DAU, DBH
b. Dependent Variable: BD
ANOVAb
Model Sum of Squares df Mean Square F Sig.
1 Regression 2.319E12 4 5.798E11 157.727 .000a
Residual 2.353E11 64 3.676E9
Total 2.554E12 68
a. Predictors: (Constant), PAD, DAK, DAU, DBH
81
a. Dependent Variable: BD
Coefficientsa
Model
Collinearity Statistics
Tolerance VIF
1 DAU .578 1.730
DAK .620 1.614
DBH .465 2.149
PAD .487 2.055
a. Dependent Variable: BD
Collinearity Diagnosticsa
Model
Dimensi
on Eigenvalue Condition Index
1 1 4.151 1.000
2 .601 2.628
3 .183 4.757
4 .039 10.382
5 .026 12.588
Collinearity Diagnosticsa
Model
Dimensi
on
Variance Proportions
(Constant) DAU DAK DBH PAD
1 1 .00 .00 .00 .01 .01
2 .01 .01 .01 .25 .06
3 .01 .00 .01 .47 .75
4 .85 .03 .48 .00 .00
5 .13 .96 .50 .27 .18
a. Dependent Variable: BD
Residuals Statisticsa
Minimum Maximum Mean Std. Deviation N
Predicted Value 149533.0781 1.3598E6 443050.3333 1.84675E5 69
Residual -1.92663E5 2.71740E5 .00000 58818.48872 69
Std. Predicted Value -1.589 4.964 .000 1.000 69
Std. Residual -3.178 4.482 .000 .970 69
a. Dependent Variable: BD
NPAR TESTS /K-S(NORMAL)=ZRE_1 /MISSING ANALYSIS.
NPar Tests
Notes
Output Created 28-May-2013 22:13:35
Comments
Input Active Dataset DataSet0
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data
File
69
Missing Value Handling Definition of Missing User-defined missing values are treated
as missing.
Cases Used Statistics for each test are based on all
cases with valid data for the variable(s)
used in that test.
Syntax NPAR TESTS
/K-S(NORMAL)=ZRE_1
/MISSING ANALYSIS.
Resources Processor Time 0:00:00.000
Elapsed Time 0:00:00.000
Number of Cases Alloweda 196608
a. Based on availability of workspace memory.
[DataSet0]
One-Sample Kolmogorov-Smirnov Test
Standardized
Residual
N 69
Normal Parametersa,,b Mean .0000000
Std. Deviation .97014250
85
Positive .089
Negative -.088
Kolmogorov-Smirnov Z .739
Asymp. Sig. (2-tailed) .646
a. Test distribution is Normal.
b. Calculated from data.
REGRESSION /MISSING LISTWISE /STATISTICS COEFF OUTS R ANOVA
/CRITERIA=PIN(.05) POUT(.10) /NOORIGIN /DEPENDENT BD /METHOD=ENTER DAU
DAK DBH PAD /SCATTERPLOT=(BD ,*ZRESID) /RESIDUALS DURBIN.
Regression
Notes
Output Created 28-May-2013 22:27:42
Comments
Input Active Dataset DataSet0
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data
File
69
Missing Value Handling Definition of Missing User-defined missing values are treated
as missing.
Cases Used Statistics are based on cases with no
Syntax REGRESSION
/MISSING LISTWISE
/STATISTICS COEFF OUTS R
ANOVA
/CRITERIA=PIN(.05) POUT(.10)
/NOORIGIN
/DEPENDENT BD
/METHOD=ENTER DAU DAK DBH
PAD
/SCATTERPLOT=(BD ,*ZRESID)
/RESIDUALS DURBIN.
Resources Processor Time 0:00:00.516
Elapsed Time 0:00:00.546
Memory Required 2308 bytes
Additional Memory Required
for Residual Plots
216 bytes
Removed Method
1 PAD, DAK, DAU,
DBHa
. Enter
a. All requested variables entered.
Model Summaryb
Model R R Square
Adjusted R
Square
Std. Error of the
Estimate Durbin-Watson
1 .953a .908 .902 60628.71044 1.882
a. Predictors: (Constant), PAD, DAK, DAU, DBH
87
a. Predictors: (Constant), PAD, DAK, DAU, DBH
b. Dependent Variable: BD
Coefficientsa
a. Dependent Variable: BD
Residuals Statisticsa
Minimum Maximum Mean Std. Deviation N
Predicted Value 149533.0781 1.3598E6 443050.3333 1.84675E5 69
Residual -1.92663E5 2.71740E5 .00000 58818.48872 69
Std. Predicted Value -1.589 4.964 .000 1.000 69
Std. Residual -3.178 4.482 .000 .970 69
89
Lampiran 5
Uji Heteroskedastisitas Hipotesis Pertama
REGRESSION /MISSING LISTWISE /STATISTICS COEFF OUTS R ANOVA
/CRITERIA=PIN(.05) POUT(.10) /NOORIGIN /DEPENDENT BD /METHOD=ENTER DAU
DAK DBH PAD /SCATTERPLOT=(*SRESID ,*ZPRED) /RESIDUALS DURBIN.
Regression
Notes
Output Created 28-May-2013 22:32:40
Comments
Input Active Dataset DataSet0
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data
File
69
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
/CRITERIA=PIN(.05) POUT(.10)
/NOORIGIN
/DEPENDENT BD
/METHOD=ENTER DAU DAK DBH
PAD
/SCATTERPLOT=(*SRESID ,*ZPRED)
Resources Processor Time 0:00:00.500
Elapsed Time 0:00:00.515
Memory Required 2308 bytes
Additional Memory Required
for Residual Plots
216 bytes
Removed Method
1 PAD, DAK, DAU,
DBHa
. Enter
a. All requested variables entered.
Model Summaryb
Model R R Square
Adjusted R
Square
Std. Error of the
Estimate Durbin-Watson
1 .953a .908 .902 60628.71044 1.882
a. Predictors: (Constant), PAD, DAK, DAU, DBH
b. Dependent Variable: BD
ANOVAb
Model Sum of Squares df Mean Square F Sig.
1 Regression 2.319E12 4 5.798E11 157.727 .000a
Residual 2.353E11 64 3.676E9
Total 2.554E12 68
a. Predictors: (Constant), PAD, DAK, DAU, DBH
91
a. Dependent Variable: BD
Residuals Statisticsa
Minimum Maximum Mean Std. Deviation N
Predicted Value 149533.0781 1.3598E6 443050.3333 1.84675E5 69
Std. Predicted Value -1.589 4.964 .000 1.000 69
Standard Error of Predicted
Value
7945.627 44725.371 14881.169 6751.043 69
Adjusted Predicted Value 149068.9688 1.3730E6 443092.5238 1.83252E5 69
Residual -1.92663E5 2.71740E5 .00000 58818.48872 69
Std. Residual -3.178 4.482 .000 .970 69
Stud. Residual -3.511 5.372 .000 1.070 69
Deleted Residual -2.35170E5 3.90306E5 -42.19049 72302.31044 69
Stud. Deleted Residual -3.877 7.192 .021 1.235 69
Mahal. Distance .182 36.019 3.942 5.560 69
Cook's Distance .000 2.518 .054 .309 69
Centered Leverage Value .003 .530 .058 .082 69
Charts
NEW FILE. REGRESSION /MISSING LISTWISE /STATISTICS COEFF OUTS R ANOVA
/CRITERIA=PIN(.05) POUT(.10) /NOORIGIN /DEPENDENT logBD /METHOD=ENTER
logDAU logDAK logDBH logPAD /SCATTERPLOT=(*SRESID ,*ZPRED).
Regression
Notes
Output Created 28-May-2013 22:38:49
Comments
Input Active Dataset DataSet1
Filter <none>
93
Split File <none>
N of Rows in Working Data
File
69
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
/CRITERIA=PIN(.05) POUT(.10)
/NOORIGIN
/DEPENDENT logBD
/METHOD=ENTER logDAU logDAK
logDBH logPAD
/SCATTERPLOT=(*SRESID
,*ZPRED).
Resources Processor Time 0:00:00.515
Elapsed Time 0:00:00.514
Memory Required 2308 bytes
Additional Memory Required
for Residual Plots
216 bytes
Removed Method
1 logPAD, logDAK,
logDBH,
logDAUa
. Enter
Model Summaryb
a. Predictors: (Constant), logPAD, logDAK, logDBH, logDAU
b. Dependent Variable: logBD
ANOVAb
Model Sum of Squares df Mean Square F Sig.
1 Regression 1.418 4 .355 90.556 .000a
Residual .251 64 .004
Total 1.669 68
a. Predictors: (Constant), logPAD, logDAK, logDBH, logDAU
b. Dependent Variable: logBD
Coefficientsa
95
Residuals Statisticsa
Minimum Maximum Mean Std. Deviation N
Predicted Value 5.1412 5.9734 5.6163 .14442 69
Std. Predicted Value -3.290 2.472 .000 1.000 69
Standard Error of Predicted
Value
.008 .036 .016 .006 69
Adjusted Predicted Value 5.1272 5.9140 5.6155 .14210 69
Residual -.15258 .19662 .00000 .06071 69
Std. Residual -2.438 3.142 .000 .970 69
Stud. Residual -2.728 3.526 .006 1.037 69
Deleted Residual -.19095 .24758 .00082 .06976 69
Stud. Deleted Residual -2.879 3.897 .012 1.074 69
Mahal. Distance .146 20.925 3.942 4.257 69
Cook's Distance .000 .655 .033 .117 69
Centered Leverage Value .002 .308 .058 .063 69
a. Dependent Variable: logBD
SAVE OUTFILE='D:\bahan kuliah\proposal tesis dian\proposal\data transformasi log.sav'
/COMPRESSED. DATASET ACTIVATE DataSet0. DATASET CLOSE DataSet1. REGRESSION
/MISSING LISTWISE /STATISTICS COEFF OUTS R ANOVA /CRITERIA=PIN(.05) POUT(.10)
/NOORIGIN /DEPENDENT BD /METHOD=ENTER DAU DAK DBH PAD
/SCATTERPLOT=(*SRESID ,*ZPRED) /RESIDUALS DURBIN /SAVE RESID.
Regression
Notes
Output Created 28-May-2013 22:41:49
Comments
Input Active Dataset DataSet0
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data
File
69
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
/CRITERIA=PIN(.05) POUT(.10)
/NOORIGIN
/DEPENDENT BD
/METHOD=ENTER DAU DAK DBH
PAD
/SCATTERPLOT=(*SRESID ,*ZPRED)
/RESIDUALS DURBIN
/SAVE RESID.
97
Elapsed Time 0:00:00.531
Memory Required 2308 bytes
Additional Memory Required
for Residual Plots
216 bytes
Variables Created or
Modified
RES_1 Unstandardized Residual
[DataSet0]
Removed Method
1 PAD, DAK, DAU,
DBHa
. Enter
a. All requested variables entered.
Model Summaryb
Model R R Square
Adjusted R
Square
Std. Error of the
Estimate Durbin-Watson
1 .953a .908 .902 60628.71044 1.882
a. Predictors: (Constant), PAD, DAK, DAU, DBH
b. Dependent Variable: BD
ANOVAb
Model Sum of Squares df Mean Square F Sig.
1 Regression 2.319E12 4 5.798E11 157.727 .000a
Residual 2.353E11 64 3.676E9
Total 2.554E12 68
a. Predictors: (Constant), PAD, DAK, DAU, DBH
Coefficientsa
a. Dependent Variable: BD
Residuals Statisticsa
Minimum Maximum Mean Std. Deviation N
Predicted Value 149533.0781 1.3598E6 443050.3333 1.84675E5 69
Std. Predicted Value -1.589 4.964 .000 1.000 69
Standard Error of Predicted
Value
7945.627 44725.371 14881.169 6751.043 69
Adjusted Predicted Value 149068.9688 1.3730E6 443092.5238 1.83252E5 69
Residual -1.92663E5 2.71740E5 .00000 58818.48872 69
Std. Residual -3.178 4.482 .000 .970 69
Stud. Residual -3.511 5.372 .000 1.070 69
Deleted Residual -2.35170E5 3.90306E5 -42.19049 72302.31044 69
Stud. Deleted Residual -3.877 7.192 .021 1.235 69
Mahal. Distance .182 36.019 3.942 5.560 69
Cook's Distance .000 2.518 .054 .309 69
Centered Leverage Value .003 .530 .058 .082 69
99
COMPUTE U2=RES_1 * RES_1. EXECUTE. COMPUTE LnDAU=LN(DAU). EXECUTE.
COMPUTE LnDAK=LN(DAK). EXECUTE. COMPUTE LnDBH=LN(DBH). EXECUTE. COMPUTE
LnPAD=LN(PAD). EXECUTE. COMPUTE LnU2=LN(U2). EXECUTE. REGRESSION /MISSING
LISTWISE /STATISTICS COEFF OUTS R ANOVA /CRITERIA=PIN(.05) POUT(.10)
/NOORIGIN /DEPENDENT LnU2 /METHOD=ENTER LnDAU LnDAK LnDBH LnPAD
/SCATTERPLOT=(*SRESID ,*ZPRED).
Regression
Notes
Output Created 28-May-2013 22:48:59
Comments
Input Active Dataset DataSet0
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data
File
69
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
/CRITERIA=PIN(.05) POUT(.10)
/NOORIGIN
/DEPENDENT LnU2
/METHOD=ENTER LnDAU LnDAK
LnDBH LnPAD
/SCATTERPLOT=(*SRESID
,*ZPRED).
101
Elapsed Time 0:00:00.563
Memory Required 2444 bytes
Additional Memory Required
for Residual Plots
216 bytes
[DataSet0]
Variables Entered/Removed
Model
Variables
Entered
Variables
Removed Method
1 LnPAD, LnDAK,
LnDBH, LnDAUa
. Enter
a. All requested variables entered.
Model Summaryb
Model R R Square
Adjusted R
Square
Std. Error of the
Estimate
Lampiran 6
Hasil Pengujian Hipotesis Pertama
REGRESSION /MISSING LISTWISE /STATISTICS COEFF OUTS R ANOVA
/CRITERIA=PIN(.05) POUT(.10) /NOORIGIN /DEPENDENT BD /METHOD=ENTER DAU
DAK DBH PAD /SCATTERPLOT=(*SRESID ,*ZPRED) /SAVE RESID.
Regression
Notes
Output Created 29-May-2013 00:56:06
Comments
Input Active Dataset DataSet0
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data
File
69
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
/CRITERIA=PIN(.05) POUT(.10)
/NOORIGIN
/DEPENDENT BD
/METHOD=ENTER DAU DAK DBH
PAD
/SCATTERPLOT=(*SRESID ,*ZPRED)
103
Resources Processor Time 0:00:00.360
Elapsed Time 0:00:00.390
Memory Required 2324 bytes
Additional Memory Required
for Residual Plots
216 bytes
Variables Created or
Modified
RES_1 Unstandardized Residual
[DataSet0]
Removed Method
1 PAD, DAK, DAU,
DBHa
. Enter
a. All requested variables entered.
Model Summaryb
a. Predictors: (Constant), PAD, DAK, DAU, DBH
b. Dependent Variable: BD
ANOVAb
Model Sum of Squares df Mean Square F Sig.
1 Regression 2.319E12 4 5.798E11 157.727 .000a
Residual 2.353E11 64 3.676E9
Total 2.554E12 68
a. Predictors: (Constant), PAD, DAK, DAU, DBH
Coefficientsa
a. Dependent Variable: BD
Residuals Statisticsa
Minimum Maximum Mean Std. Deviation N
Predicted Value 149533.0781 1.3598E6 443050.3333 1.84675E5 69
Std. Predicted Value -1.589 4.964 .000 1.000 69
Standard Error of Predicted
Value
7945.627 44725.371 14881.169 6751.043 69
Adjusted Predicted Value 149068.9688 1.3730E6 443092.5238 1.83252E5 69
Residual -1.92663E5 2.71740E5 .00000 58818.48872 69
Std. Residual -3.178 4.482 .000 .970 69
Stud. Residual -3.511 5.372 .000 1.070 69
Deleted Residual -2.35170E5 3.90306E5 -42.19049 72302.31044 69
Stud. Deleted Residual -3.877 7.192 .021 1.235 69
Mahal. Distance .182 36.019 3.942 5.560 69
Cook's Distance .000 2.518 .054 .309 69
Centered Leverage Value .003 .530 .058 .082 69
105
Charts
COMPUTE ABRES=ABS(RES_1). EXECUTE. REGRESSION /MISSING LISTWISE /STATISTICS
COEFF OUTS R ANOVA /CRITERIA=PIN(.05) POUT(.10) /NOORIGIN /DEPENDENT
ABRES /METHOD=ENTER BD /SCATTERPLOT=(*SRESID ,*ZPRED) /SAVE RESID.
Regression
Notes
Output Created 29-May-2013 00:58:06
Comments
Input Active Dataset DataSet0
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data
File
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
/CRITERIA=PIN(.05) POUT(.10)
/NOORIGIN
/DEPENDENT ABRES
/METHOD=ENTER BD
/SCATTERPLOT=(*SRESID ,*ZPRED)
/SAVE RESID.
Resources Processor Time 0:00:00.422
Elapsed Time 0:00:00.437
Memory Required 1476 bytes
Additional Memory Required
for Residual Plots
240 bytes
Variables Created or
Modified
RES_2 Unstandardized Residual
[DataSet0]
Removed Method
1 BDa . Enter
a. All requested variables entered.
107
a. Predictors: (Constant), BD
b. Dependent Variable: ABRES
ANOVAb
Model Sum of Squares df Mean Square F Sig.
1 Regression 2.445E10 1 2.445E10 16.514 .000a
Residual 9.918E10 67 1.480E9
Total 1.236E11 68
a. Predictors: (Constant), BD
b. Dependent Variable: ABRES
Coefficientsa
a. Dependent Variable: ABRES
Residuals Statisticsa
Minimum Maximum Mean Std. Deviation N
Predicted Value 11811.3291 128820.8828 40221.4784 18960.48079 69
Std. Predicted Value -1.498 4.673 .000 1.000 69
Standard Error of Predicted
Value
4631.941 22289.049 5879.185 2909.619 69
Adjusted Predicted Value 12017.1719 188300.6875 40224.9931 21832.96406 69
Residual -1.17753E5 1.56485E5 .00000 38191.05611 69
Stud. Residual -3.755 4.611 .000 1.075 69
Deleted Residual -1.77233E5 2.10398E5 -3.51476 45511.34489 69
Stud. Deleted Residual -4.194 5.540 .017 1.193 69
Mahal. Distance .000 21.835 .986 3.432 69
Cook's Distance .000 4.319 .120 .668 69
Centered Leverage Value .000 .321 .014 .050 69
a. Dependent Variable: ABRES
109
Lampiran 7
Uji Normalitas Hipotesis Kedua
Notes
Output Created 13-Jun-2013 11:27:00
Comments
Input Active Dataset DataSet0
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data
File
1
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 Otsus
/METHOD=ENTER DAU DAK DBH
PAD
/RESIDUALS HIST(ZRESID)
NORM(ZRESID)
/SAVE ZRESID.
Resources Processor Time 0:00:00.031
Elapsed Time 0:00:00.031
Memory Required 2324 bytes
Additional Memory Required
for Residual Plots
632 bytes
Variables Created or
Modified
REGRESSION /MISSING LISTWISE /STATISTICS COEFF OUTS R ANOVA COLLIN TOL
/CRITERIA=PIN(.05) POUT(.10) /NOORIGIN /DEPENDENT Otsus /METHOD=ENTER
DAU DAK DBH PAD /RESIDUALS HIST(ZRESID) NORM(ZRESID) /SAVE ZRESID.
Regression
Notes
Output Created 13-Jun-2013 11:28:18
Comments
Input Active Dataset DataSet0
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data
File
69
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 Otsus
/METHOD=ENTER DAU DAK DBH
PAD
/RESIDUALS HIST(ZRESID)
NORM(ZRESID)
/SAVE ZRESID.
Resources Processor Time 0:00:01.422
Elapsed Time 0:00:01.812
Memory Required 2324 bytes
Additional Memory Required
for Residual Plots
111
Notes
Output Created 13-Jun-2013 11:28:18
Comments
Input Active Dataset DataSet0
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data
File
69
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 Otsus
/METHOD=ENTER DAU DAK DBH
PAD
/RESIDUALS HIST(ZRESID)
NORM(ZRESID)
/SAVE ZRESID.
Resources Processor Time 0:00:01.422
Elapsed Time 0:00:01.812
Memory Required 2324 bytes
Additional Memory Required
for Residual Plots
632 bytes
Variables Created or
Modified
ZRE_1 Standardized Residual
Variables Entered/Removed
Model
Variables
Entered
Variables
Removed Method
1 PAD, DAK, DAU,
DBHa
. Enter
a. All requested variables entered.
Model Summaryb
a. Predictors: (Constant), PAD, DAK, DAU, DBH
b. Dependent Variable: Otsus
ANOVAb
Model Sum of Squares df Mean Square F Sig.
1 Regression 21720.438 4 5430.109 10.355 .000a
Residual 33560.519 64 524.383
Total 55280.957 68
a. Predictors: (Constant), PAD, DAK, DAU, DBH
b. Dependent Variable: Otsus
Coefficientsa
113
Coefficientsa
Model
Collinearity Statistics
Tolerance VIF
1 DAU .578 1.730
DAK .620 1.614
DBH .465 2.149
PAD .487 2.055
a. Dependent Variable: Otsus
Collinearity Diagnosticsa
Model
Dimensi
on Eigenvalue Condition Index
1 1 4.151 1.000
2 .601 2.628
3 .183 4.757
4 .039 10.382
5 .026 12.588
a. Dependent Variable: Otsus
Collinearity Diagnosticsa
Residuals Statisticsa
Minimum Maximum Mean Std. Deviation N
Predicted Value 58.1174 139.9440 95.5652 17.87227 69
Residual -42.17504 57.85869 .00000 22.21569 69
Std. Predicted Value -2.095 2.483 .000 1.000 69
Std. Residual -1.842 2.527 .000 .970 69
a. Dependent Variable: Otsus
REGRESSION /MISSING LISTWISE /STATISTICS COEFF OUTS R ANOVA
/CRITERIA=PIN(.05) POUT(.10) /NOORIGIN /DEPENDENT Otsus /METHOD=ENTER
DAU DAK DBH PAD /SAVE ZRESID.
Regression
Notes
Output Created 13-Jun-2013 11:50:25
Comments
Input Active Dataset DataSet0
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data
File
69
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
/CRITERIA=PIN(.05) POUT(.10)
/NOORIGIN
/DEPENDENT Otsus
/METHOD=ENTER DAU DAK DBH
PAD
/SAVE ZRESID.
Resources Processor Time 0:00:00.031
Elapsed Time 0:00:00.048
Memory Required 2324 bytes
Additional Memory Required
for Residual Plots
117
Notes
Output Created 13-Jun-2013 11:50:25
Comments
Input Active Dataset DataSet0
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data
File
69
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
/CRITERIA=PIN(.05) POUT(.10)
/NOORIGIN
/DEPENDENT Otsus
/METHOD=ENTER DAU DAK DBH
PAD
/SAVE ZRESID.
Resources Processor Time 0:00:00.031
Elapsed Time 0:00:00.048
Memory Required 2324 bytes
Additional Memory Required
for Residual Plots
0 bytes
Variables Created or
Modified
ZRE_1 Standardized Residual
Variables Entered/Removed
Model
Variables
Entered
Variables
Removed Method
1 PAD, DAK, DAU,
DBHa
. Enter
a. All requested variables entered.
Model Summaryb
a. Predictors: (Constant), PAD, DAK, DAU, DBH
b. Dependent Variable: Otsus
ANOVAb
Model Sum of Squares df Mean Square F Sig.
1 Regression 21720.438 4 5430.109 10.355 .000a
Residual 33560.519 64 524.383
Total 55280.957 68
a. Predictors: (Constant), PAD, DAK, DAU, DBH
b. Dependent Variable: Otsus
Coefficientsa
119
Residuals Statisticsa
Minimum Maximum Mean Std. Deviation N
Predicted Value 58.1174 139.9440 95.5652 17.87227 69
Residual -42.17504 57.85869 .00000 22.21569 69
Std. Predicted Value -2.095 2.483 .000 1.000 69
Std. Residual -1.842 2.527 .000 .970 69
a. Dependent Variable: Otsus
NPAR TESTS /K-S(NORMAL)=ZRE_1 /MISSING ANALYSIS.
NPar Tests
Notes
Output Created 13-Jun-2013 11:51:07
Comments
Input Active Dataset DataSet0
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data
File
69
Missing Value Handling Definition of Missing User-defined missing values are treated as
missing.
Cases Used Statistics for each test are based on all cases
with valid data for the variable(s) used in that
test.
Syntax NPAR TESTS
/K-S(NORMAL)=ZRE_1
/MISSING ANALYSIS.
Resources Processor Time 0:00:00.031
Elapsed Time 0:00:00.015
Notes
Output Created 13-Jun-2013 11:51:07
Comments
Input Active Dataset DataSet0
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data
File
69
Missing Value Handling Definition of Missing User-defined missing values are treated as
missing.
Cases Used Statistics for each test are based on all cases
with valid data for the variable(s) used in that
test.
Syntax NPAR TESTS
/K-S(NORMAL)=ZRE_1
/MISSING ANALYSIS.
Resources Processor Time 0:00:00.031
Elapsed Time 0:00:00.015
Number of Cases Alloweda 196608
a. Based on availability of workspace memory.
[DataSet0]
One-Sample Kolmogorov-Smirnov Test
Standardized Residual
N 69
Normal Parametersa,,b Mean .0000000
Std. Deviation .97014250
Most Extreme Differences Absolute .103
Positive .103
Negative -.057
Kolmogorov-Smirnov Z .855
Asymp. Sig. (2-tailed) .457
a. Test distribution is Normal.
121
Lampiran 8
Uji Multikolinearitas dan Autokorelasi Hipotesis Kedua
REGRESSION /MISSING LISTWISE /STATISTICS COEFF OUTS R ANOVA COLLIN TOL
/CRITERIA=PIN(.05) POUT(.10) /NOORIGIN /DEPENDENT Otsus /METHOD=ENTER
DAU DAK DBH PAD.
Regression
Notes
Output Created 13-Jun-2013 12:24:20
Comments
Input Active Dataset DataSet0
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data
File
69
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 Otsus
/METHOD=ENTER DAU DAK DBH
PAD.
Resources Processor Time 0:00:00.000
Elapsed Time 0:00:00.016
Notes
Output Created 13-Jun-2013 12:24:20
Comments
Input Active Dataset DataSet0
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data
File
69
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 Otsus
/METHOD=ENTER DAU DAK DBH
PAD.
Resources Processor Time 0:00:00.000
Elapsed Time 0:00:00.016
Memory Required 2332 bytes
Additional Memory Required
for Residual Plots
0 bytes
123
Removed Method
1 PAD, DAK, DAU,
DBHa
. Enter
a. All requested variables entered.
Model Summary
a. Predictors: (Constant), PAD, DAK, DAU, DBH
ANOVAb
Model Sum of Squares df Mean Square F Sig.
1 Regression 21720.438 4 5430.109 10.355 .000a
Residual 33560.519 64 524.383
Total 55280.957 68
a. Predictors: (Constant), PAD, DAK, DAU, DBH
b. Dependent Variable: Otsus
Coefficientsa
Coefficientsa
Model
Collinearity Statistics
Tolerance VIF
1 DAU .578 1.730
DAK .620 1.614
DBH .465 2.149
PAD .487 2.055
a. Dependent Variable: Otsus
Collinearity Diagnosticsa
Model
Dimensi
on Eigenvalue Condition Index
1 1 4.151 1.000
2 .601 2.628
3 .183 4.757
4 .039 10.382
5 .026 12.588
a. Dependent Variable: Otsus
Collinearity Diagnosticsa
125
Lampiran 9
Uji Heteroskedastisitas Hipotesis Kedua
REGRESSION /MISSING LISTWISE /STATISTICS COEFF OUTS R ANOVA
/CRITERIA=PIN(.05) POUT(.10) /NOORIGIN /DEPENDENT Otsus /METHOD=ENTER
DAU DAK DBH PAD /SCATTERPLOT=(*SRESID ,*ZPRED).
Regression
Notes
Output Created 13-Jun-2013 13:07:55
Comments
Input Active Dataset DataSet0
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data
File
69
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
/CRITERIA=PIN(.05) POUT(.10)
/NOORIGIN
/DEPENDENT Otsus
/METHOD=ENTER DAU DAK DBH
PAD
/SCATTERPLOT=(*SRESID
,*ZPRED).
Elapsed Time 0:00:00.547
Memory Required 2324 bytes
Additional Memory Required
for Residual Plots
216 bytes
Removed Method
1 PAD, DAK, DAU,
DBHa
. Enter
a. All requested variables entered.
Model Summaryb
a. Predictors: (Constant), PAD, DAK, DAU, DBH
b. Dependent Variable: Otsus
ANOVAb
Model Sum of Squares df Mean Square F Sig.
1 Regression 21720.438 4 5430.109 10.355 .000a
Residual 33560.519 64 524.383
Total 55280.957 68
a. Predictors: (Constant), PAD, DAK, DAU, DBH
b. Dependent Variable: Otsus
127
DAU .000 .000 .454 3.542 .001
DAK .001 .000 .224 1.808 .075
DBH .000 .000 .450 3.154 .002
PAD .000 .000 -.546 -3.911 .000
a. Dependent Variable: Otsus
Residuals Statisticsa
Minimum Maximum Mean Std. Deviation N
Predicted Value 58.1174 139.9440 95.5652 17.87227 69
Std. Predicted Value -2.095 2.483 .000 1.000 69
Standard Error of Predicted
Value
3.001 16.893 5.621 2.550 69
Adjusted Predicted Value 52.2836 145.0776 95.7248 18.60405 69
Residual -42.17504 57.85869 .00000 22.21569 69
Std. Residual -1.842 2.527 .000 .970 69
Stud. Residual -2.035 2.565 -.003 1.010 69
Deleted Residual -51.48020 62.71641 -.15955 24.19556 69
Stud. Deleted Residual -2.088 2.687 .003 1.028 69
Mahal. Distance .182 36.019 3.942 5.560 69
Cook's Distance .000 .456 .019 .059 69
Centered Leverage Value .003 .530 .058 .082 69
Charts
REGRESSION /MISSING LISTWISE /STATISTICS COEFF OUTS R ANOVA
/CRITERIA=PIN(.05) POUT(.10) /NOORIGIN /DEPENDENT Otsus /METHOD=ENTER
DAU DAK DBH PAD /SCATTERPLOT=(*SRESID ,*ZPRED) /SAVE RESID.
Regression
Notes
Output Created 13-Jun-2013 13:13:57
Comments
Input Active Dataset DataSet0
Filter <none>
Weight <none>
129
N of Rows in Working Data
File
69
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
/CRITERIA=PIN(.05) POUT(.10)
/NOORIGIN
/DEPENDENT Otsus
/METHOD=ENTER DAU DAK DBH
PAD
/SCATTERPLOT=(*SRESID ,*ZPRED)
/SAVE RESID.
Resources Processor Time 0:00:00.344
Elapsed Time 0:00:00.344
Memory Required 2324 bytes
Additional Memory Required
for Residual Plots
216 bytes
Variables Created or
Modified
RES_1 Unstandardized Residual
[DataSet0]
Removed Method
1 PAD, DAK, DAU,
DBHa
. Enter
Model Summaryb
a. Predictors: (Constant), PAD, DAK, DAU, DBH
b. Dependent Variable: Otsus
ANOVAb
Model Sum of Squares df Mean Square F Sig.
1 Regression 21720.438 4 5430.109 10.355 .000a
Residual 33560.519 64 524.383
Total 55280.957 68
a. Predictors: (Constant), PAD, DAK, DAU, DBH
b. Dependent Variable: Otsus
Coefficientsa
a. Dependent Variable: Otsus
Residuals Statisticsa
Minimum Maximum Mean Std. Deviation N
Predicted Value 58.1174 139.9440 95.5652 17.87227 69
Std. Predicted Value -2.095 2.483 .000 1.000 69
Standard Error of Predicted
Value
131
Adjusted Predicted Value 52.2836 145.0776 95.7248 18.60405 69
Residual -42.17504 57.85869 .00000 22.21569 69
Std. Residual -1.842 2.527 .000 .970 69
Stud. Residual -2.035 2.565 -.003 1.010 69
Deleted Residual -51.48020 62.71641 -.15955 24.19556 69
Stud. Deleted Residual -2.088 2.687 .003 1.028 69
Mahal. Distance .182 36.019 3.942 5.560 69
Cook's Distance .000 .456 .019 .059 69
Centered Leverage Value .003 .530 .058 .082 69
a. Dependent Variable: Otsus
COMPUTE lnu2=RES_1 * RES_1. EXECUTE. REGRESSION /MISSING LISTWISE
/STATISTICS COEFF OUTS R ANOVA /CRITERIA=PIN(.05) POUT(.10) /NOORIGIN
/DEPENDENT lnu2 /METHOD=ENTER DAU DAK DBH PAD /SCATTERPLOT=(*SRESID
,*ZPRED).
Regression
Notes
Output Created 13-Jun-2013 13:17:06
Comments
Input Active Dataset DataSet0
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data
File
69
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
/CRITERIA=PIN(.05) POUT(.10)
/NOORIGIN
/DEPENDENT lnu2
/METHOD=ENTER DAU DAK DBH
PAD
/SCATTERPLOT=(*SRESID
,*ZPRED).
Resources Processor Time 0:00:00.360
Elapsed Time 0:00:00.375
133
Notes
Output Created 13-Jun-2013 13:17:06
Comments
Input Active Dataset DataSet0
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data
File
69
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
/CRITERIA=PIN(.05) POUT(.10)
/NOORIGIN
/DEPENDENT lnu2
/METHOD=ENTER DAU DAK DBH
PAD
/SCATTERPLOT=(*SRESID
,*ZPRED).
Resources Processor Time 0:00:00.360
Elapsed Time 0:00:00.375
Memory Required 2364 bytes
Additional Memory Required
for Residual Plots
216 bytes
Variables Entered/Removed
Model
Variables
Entered
Variables
Removed Method
1 PAD, DAK, DAU,
DBHa
. Enter
a. All requested variables entered.
Model Summaryb
a. Predictors: (Constant), PAD, DAK, DAU, DBH
b. Dependent Variable: lnu2
ANOVAb
Model Sum of Squares df Mean Square F Sig.
1 Regression 1253186.052 4 313296.513 .611 .656a
Residual 3.282E7 64 512783.394
Total 3.407E7 68
a. Predictors: (Constant), PAD, DAK, DAU, DBH
b. Dependent Variable: lnu2
Coefficientsa
135
Residuals Statisticsa
Minimum Maximum Mean Std. Deviation N
Predicted Value 122.5092 867.7718 486.3843 135.75421 69
Std. Predicted Value -2.680 2.809 .000 1.000 69
Standard Error of Predicted
Value
93.846 528.254 175.762 79.737 69
Adjusted Predicted Value -258.5390 1815.0564 496.1676 229.64502 69
Residual -805.28430 2756.48096 .00000 694.70833 69
Std. Residual -1.125 3.849 .000 .970 69
Stud. Residual -1.666 3.908 -.005 1.018 69
Deleted Residual -1766.71375 2840.51172 -9.78324 776.41725 69
Stud. Deleted Residual -1.690 4.443 .014 1.083 69
Mahal. Distance .182 36.019 3.942 5.560 69
Cook's Distance .000 .662 .027 .104 69
Centered Leverage Value .003 .530 .058 .082 69
a. Dependent Variable: lnu2
Lampiran 10
Uji Residual
REGRESSION /MISSING LISTWISE /STATISTICS COEFF OUTS R ANOVA
/CRITERIA=PIN(.05) POUT(.10) /NOORIGIN /DEPENDENT Otsus /METHOD=ENTER
DAU DAK DBH PAD /SAVE RESID.
Regression
Notes
Output Created 12-Jun-2013 14:34:25
Comments
Input Active Dataset DataSet0
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data
File
69
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
/CRITERIA=PIN(.05) POUT(.10)
/NOORIGIN
/DEPENDENT Otsus
/METHOD=ENTER DAU DAK DBH
PAD
/SAVE RESID.
137
Elapsed Time 0:00:00.016
Memory Required 2324 bytes
Additional Memory Required
for Residual Plots
0 bytes
Variables Created or
Modified
RES_1 Unstandardized Residual
[DataSet0]
Removed Method
1 PAD, DAK, DAU,
DBHa
. Enter
a. All requested variables entered.
Model Summaryb
a. Predictors: (Constant), PAD, DAK, DAU, DBH
b. Dependent Variable: Otsus
ANOVAb
Model Sum of Squares df Mean Square F Sig.
1 Regression 21720.438 4 5430.109 10.355 .000a
Residual 33560.519 64 524.383
Total 55280.957 68
a. Predictors: (Constant), PAD, DAK, DAU, DBH
Coefficientsa
a. Dependent Variable: Otsus
Residuals Statisticsa
Minimum Maximum Mean Std. Deviation N
Predicted Value 58.1174 139.9440 95.5652 17.87227 69
Residual -42.17504 57.85869 .00000 22.21569 69
Std. Predicted Value -2.095 2.483 .000 1.000 69
Std. Residual -1.842 2.527 .000 .970 69
a. Dependent Variable: Otsus
Notes
Output Created 12-Jun-2013 14:36:51
Comments
Input Active Dataset DataSet0
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data
File
69
Missing Value Handling Definition of Missing User-defined missing values are treated
139
Cases Used Statistics are based on cases with no
missing values for any variable used.
Syntax REGRESSION
/MISSING LISTWISE
/STATISTICS COEFF OUTS R
ANOVA
/CRITERIA=PIN(.05) POUT(.10)
/NOORIGIN
/DEPENDENT AbsRes_1
/METHOD=ENTER BD.
Resources Processor Time 0:00:00.000
Elapsed Time 0:00:00.047
Memory Required 1476 bytes
Additional Memory Required
for Residual Plots
0 bytes
COMPUTE AbsRes_1=ABS(RES_1). EXECUTE. REGRESSION /MISSING LISTWISE
/STATISTICS COEFF OUTS R ANOVA /CRITERIA=PIN(.05) POUT(.10) /NOORIGIN
/DEPENDENT AbsRes_1 /METHOD=ENTER BD.
Regression
Notes
Output Created 12-Jun-2013 14:44:54
Comments
Input Active Dataset DataSet0
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data
File
69
Missing Value Handling Definition of Missing User-defined missing values are treated
as missing.
Cases Used Statistics are based on cases with no
Syntax REGRESSION
/MISSING LISTWISE
/STATISTICS COEFF OUTS R
ANOVA
/CRITERIA=PIN(.05) POUT(.10)
/NOORIGIN
/DEPENDENT AbsRes_1
/METHOD=ENTER BD.
Resources Processor Time 0:00:00.047
Elapsed Time 0:00:00.048
Memory Required 1476 bytes
Additional Memory Required
for Residual Plots
0 bytes
Removed Method
1 BDa . Enter
a. All requested variables entered.
b. Dependent Variable: AbsRes_1
Model Summary
a. Predictors: (Constant), BD
ANOVAb
Model Sum of Squares df Mean Square F Sig.
1 Regression 18.882 1 18.882 .101 .752a
Residual 12574.403 67 187.678
Total 12593.285 68
141
ANOVAb
Model Sum of Squares df Mean Square F Sig.
1 Regression 18.882 1 18.882 .101 .752a
Residual 12574.403 67 187.678
Total 12593.285 68
a. Predictors: (Constant), BD
b. Dependent Variable: AbsRes_1
Coefficientsa
Model
Unstandardized Coefficients
Standardized
Coefficients
B Std. Error Beta t Sig.
1 (Constant) 16.227 4.140 3.919 .000
BD 2.719E-6 .000 .039 .317 .752
