REGRESSION /DESCRIPTIVES MEAN STDDEV CORR SIG N /MISSING LISTWISE /STATISTICS COEFF OUTS COLLIN TOL CHANGE ZPP /CRITERIA=PIN(.05) POUT(.10) /NOORIGIN /DEPENDENT todu /METHOD=ENTER aco ahs si sri ui /SCATTERPLOT=(*ZRESID ,*ZPRED) /CASEWISE PLOT(ZRESID) OUTLIERS(2).
Regression
Notes
Output CreatedCommentsInput Active Dataset
FilterWeightSplit FileN of Rows in Working Data File
Missing Value Handling Definition of Missing
Cases Used
Syntax
Resources Processor TimeElapsed Time
27-SEP-2015 10:12:11
DataSet0
57
User-defined missing values are treated as missing.Statistics are based on cases with no missing values for any variable used.
REGRESSION /DESCRIPTIVES MEAN STDDEV CORR SIG N /MISSING LISTWISE /STATISTICS COEFF OUTS COLLIN TOL CHANGE ZPP /CRITERIA=PIN(.05) POUT(.10) /NOORIGIN /DEPENDENT todu /METHOD=ENTER aco ahs si sri ui /SCATTERPLOT=(*ZRESID ,*ZPRED) /CASEWISE PLOT(ZRESID) OUTLIERS(2).
00:00:00.2200:00:00.23
4800 bytes
Page 1
NotesResources
Memory RequiredAdditional Memory Required for Residual Plots
4800 bytes
0 bytes
Descriptive Statistics
Mean Std. Deviation Ntoduaco
ahssisriui
5.37316 1.325458 57.81175 .177655 57
3.18509 .389052 5713.07316 12.186774 5749.56000 15.844724 5752.61877 13.458622 57
Correlations
todu aco ahs si sri uiPearson Correlation todu
aco
ahssisriui
Sig. (1-tailed) toduaco
ahssisriui
N toduaco
ahssisriui
1.000 .785 .375 -.246 .186 -.757.785 1.000 .236 -.397 .317 -.713.375 .236 1.000 .085 -.518 -.572
-.246 -.397 .085 1.000 -.180 .249.186 .317 -.518 -.180 1.000 .021
-.757 -.713 -.572 .249 .021 1.000. .000 .002 .033 .083 .000
.000 . .039 .001 .008 .000
.002 .039 . .265 .000 .000
.033 .001 .265 . .090 .031
.083 .008 .000 .090 . .439
.000 .000 .000 .031 .439 .57 57 57 57 57 5757 57 57 57 57 5757 57 57 57 57 5757 57 57 57 57 5757 57 57 57 57 5757 57 57 57 57 57
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Variables Entered/Removeda
ModelVariables Entered
Variables Removed Method
1 ui, sri, si, ahs, acob . Enter
Dependent Variable: todua. All requested variables entered.b.
Model Summaryb
Model
Change StatisticsR Square Change F Change df1 df2 Sig. F Change
1 .704a 24.283 5 51 .000
Predictors: (Constant), ui, sri, si, ahs, acoa. Dependent Variable: todub.
Coefficientsa
ModelUnstandardized Coefficients
Standardized Coefficients
t Sig.Correlations
B Std. Error Beta Zero-order1 (Constant)
aco
ahssisriui
2.817 2.208 1.276 .2083.647 .957 .489 3.813 .000 .785 .471
.324 .412 .095 .785 .436 .375 .109
.005 .009 .049 .574 .569 -.246 .080
.008 .009 .097 .924 .360 .186 .128-.036 .013 -.368 -2.720 .009 -.757 -.356
Coefficientsa
ModelCorrelations Collinearity Statistics
Partial Part Tolerance VIF1 (Constant)
aco
ahssisriui
.471 .290 .353 2.834
.109 .060 .396 2.523
.080 .044 .797 1.255
.128 .070 .524 1.910-.356 -.207 .317 3.159
Dependent Variable: todua.
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Collinearity Diagnosticsa
Model Dimension Eigenvalue Condition IndexVariance Proportions
(Constant) aco ahs si1 1
23456
5.387 1.000 .00 .00 .00 .01 .00.444 3.481 .00 .00 .00 .69 .01.084 7.989 .00 .05 .01 .05 .06.074 8.544 .00 .00 .01 .15 .38.009 24.037 .01 .79 .21 .09 .37.002 59.882 .99 .15 .77 .00 .18
Collinearity Diagnosticsa
Model DimensionVariance Proportions
sri ui1 1
23456
.00 .00
.01 .00
.06 .11
.38 .05
.37 .19
.18 .65
Dependent Variable: todua.
Casewise Diagnosticsa
Case Number Std. Residual todu Predicted Value Residual205657
2.754 9.140 7.05936 2.0806412.108 7.640 6.04731 1.5926942.072 7.250 5.68507 1.564932
Dependent Variable: todua.
Residuals Statisticsa
Minimum Maximum Mean Std. Deviation NPredicted ValueResidualStd. Predicted ValueStd. Residual
3.02431 8.53094 5.37316 1.112279 57-1.477105 2.080641 .000000 .720885 57
-2.112 2.839 .000 1.000 57-1.955 2.754 .000 .954 57
Dependent Variable: todua.
Charts
Page 4
Regression Standardized Predicted Value3210-1-2-3
Reg
ress
ion
Stan
dard
ized
Res
idua
l
3
2
1
0
-1
-2
ScatterplotDependent Variable: todu
REGRESSION /DESCRIPTIVES MEAN STDDEV CORR SIG N /MISSING LISTWISE /STATISTICS COEFF OUTS COLLIN TOL CHANGE ZPP /CRITERIA=PIN(.05) POUT(.10) /NOORIGIN /DEPENDENT todu /METHOD=STEPWISE aco ahs si sri ui /SCATTERPLOT=(*ZRESID ,*ZPRED) /CASEWISE PLOT(ZRESID) OUTLIERS(2).
Regression
Page 5
Notes
Output CreatedCommentsInput Active Dataset
FilterWeightSplit FileN of Rows in Working Data File
Missing Value Handling Definition of Missing
Cases Used
Syntax
Resources Processor TimeElapsed TimeMemory RequiredAdditional Memory Required for Residual Plots
27-SEP-2015 10:13:15
DataSet0
57
User-defined missing values are treated as missing.Statistics are based on cases with no missing values for any variable used.REGRESSION /DESCRIPTIVES MEAN STDDEV CORR SIG N /MISSING LISTWISE /STATISTICS COEFF OUTS COLLIN TOL CHANGE ZPP /CRITERIA=PIN(.05) POUT(.10) /NOORIGIN /DEPENDENT todu /METHOD=STEPWISE aco ahs si sri ui /SCATTERPLOT=(*ZRESID ,*ZPRED) /CASEWISE PLOT(ZRESID) OUTLIERS(2).
00:00:00.1900:00:00.17
5392 bytes
0 bytes
Descriptive Statistics
Mean Std. Deviation Ntoduaco
ahssisriui
5.37316 1.325458 57.81175 .177655 57
3.18509 .389052 5713.07316 12.186774 5749.56000 15.844724 5752.61877 13.458622 57
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Correlations
todu aco ahs si sri uiPearson Correlation todu
aco
ahssisriui
Sig. (1-tailed) toduaco
ahssisriui
N toduaco
ahssisriui
1.000 .785 .375 -.246 .186 -.757.785 1.000 .236 -.397 .317 -.713.375 .236 1.000 .085 -.518 -.572
-.246 -.397 .085 1.000 -.180 .249.186 .317 -.518 -.180 1.000 .021
-.757 -.713 -.572 .249 .021 1.000. .000 .002 .033 .083 .000
.000 . .039 .001 .008 .000
.002 .039 . .265 .000 .000
.033 .001 .265 . .090 .031
.083 .008 .000 .090 . .439
.000 .000 .000 .031 .439 .57 57 57 57 57 5757 57 57 57 57 5757 57 57 57 57 5757 57 57 57 57 5757 57 57 57 57 5757 57 57 57 57 57
Variables Entered/Removeda
ModelVariables Entered
Variables Removed Method
1
2
aco .
Stepwise (Criteria: Probability-of-F-to-enter = .100).
ui .
Stepwise (Criteria: Probability-of-F-to-enter = .100).
Dependent Variable: todua.
Page 7
Model Summaryc
Model
Change StatisticsR Square Change F Change df1 df2 Sig. F Change
12
.617a 88.427 1 55 .000
.079b 14.000 1 54 .000
Predictors: (Constant), acoa. Predictors: (Constant), aco, uib. Dependent Variable: toduc.
Coefficientsa
ModelUnstandardized Coefficients
Standardized Coefficients
t Sig.Correlations
B Std. Error Beta Zero-order1 (Constant)
aco
2 (Constant)aco
ui
.618 .517 1.194 .2385.858 .623 .785 9.404 .000 .785 .7854.426 1.119 3.955 .0003.725 .799 .499 4.661 .000 .785 .536-.039 .011 -.401 -3.742 .000 -.757 -.454
Coefficientsa
ModelCorrelations Collinearity Statistics
Partial Part Tolerance VIF1 (Constant)
aco
2 (Constant)aco
ui
.785 .785 1.000 1.000
.536 .350 .491 2.035-.454 -.281 .491 2.035
Dependent Variable: todua.
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Excluded Variablesa
Model Beta In t Sig.Partial
Correlation
Collinearity Statistics
Tolerance VIF1 ahs
sisriui
2 ahssisri
.201b 2.437 .018 .315 .944 1.059 .944
.078b .853 .397 .115 .843 1.187 .843-.069b -.784 .437 -.106 .900 1.111 .900-.401b -3.742 .000 -.454 .491 2.035 .491.045c .467 .642 .064 .613 1.632 .319.062c .749 .457 .102 .840 1.190 .440.047c .549 .585 .075 .776 1.289 .381
Excluded Variablesa
Model
Collinearity ...Minimum Tolerance
1 ahssisriui
2 ahssisri
.944
.843
.900
.491
.319
.440
.381
Dependent Variable: todua. Predictors in the Model: (Constant), acob. Predictors in the Model: (Constant), aco, uic.
Collinearity Diagnosticsa
Model Dimension Eigenvalue Condition IndexVariance Proportions
(Constant) aco ui1 1
22 1
23
1.977 1.000 .01 .01.023 9.327 .99 .99
2.905 1.000 .00 .00 .00.090 5.678 .00 .11 .18.005 23.876 1.00 .88 .82
Dependent Variable: todua.
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Casewise Diagnosticsa
Case Number Std. Residual todu Predicted Value Residual205657
2.802 9.140 7.05303 2.0869702.024 7.640 6.13258 1.5074162.414 7.250 5.45176 1.798238
Dependent Variable: todua.
Residuals Statisticsa
Minimum Maximum Mean Std. Deviation NPredicted ValueResidualStd. Predicted ValueStd. Residual
3.09813 8.34223 5.37316 1.105370 57-1.419841 2.086970 .000000 .731434 57
-2.058 2.686 .000 1.000 57-1.906 2.802 .000 .982 57
Dependent Variable: todua.
Charts
Page 10
Regression Standardized Predicted Value3210-1-2-3
Reg
ress
ion
Stan
dard
ized
Res
idua
l
3
2
1
0
-1
-2
ScatterplotDependent Variable: todu
* NonLinear Regression. MODEL PROGRAM A=1 B=1. COMPUTE PRED_=A*LN(aco)-(B*LN(ui)). NLR todu /OUTFILE='C:\Users\HARYOH~1\AppData\Local\Temp\spss3540\SPSSFNLR.TMP' /PRED PRED_ /CRITERIA SSCONVERGENCE 1E-8 PCON 1E-8.
Nonlinear Regression Analysis
Page 11
Notes
Output CreatedCommentsInput Active Dataset
FilterWeightSplit FileN of Rows in Working Data File
Missing Value Handling Definition of Missing
Cases Used
Syntax
Resources Processor TimeElapsed Time
Files Saved Parameter Estimates File
27-SEP-2015 10:47:01
DataSet0
57
User-defined missing values are treated as missing.Statistics are based on cases with no missing values for any variable used. Predicted values are calculated for cases with missing values on the dependent variable.MODEL PROGRAM A=1 B=1.COMPUTE PRED_=A*LN(aco)-(B*LN(ui)).NLR todu /OUTFILE='C:\Users\HARYOH~1\AppData\Local\Temp\spss3540\SPSSFNLR.TMP' /PRED PRED_ /CRITERIA SSCONVERGENCE 1E-8 PCON 1E-8.
00:00:00.0000:00:00.06
C:\Users\HARYOH~1\AppData\Local\Temp\spss3540\SPSSFNLR.TMP
Iteration Historyb
Iteration NumberaResidual Sum
of Squares
Parameter
A B1.01.12.02.1
5230.865 1.000 1.00062.458 6.041 -1.71562.458 6.041 -1.71562.458 6.041 -1.715
Derivatives are calculated numerically.Major iteration number is displayed to the left of the decimal, and minor iteration number is to the right of the decimal.
a.
Run stopped after 4 model evaluations and 2 derivative evaluations because the relative reduction between successive residual sums of squares is at most SSCON = 1.000E-8.
b.
Page 12
Parameter Estimates
Parameter Estimate Std. Error95% Confidence Interval
Lower Bound Upper BoundAB
6.041 .689 4.661 7.421-1.715 .055 -1.826 -1.603
Correlations of Parameter Estimates
A BAB
1.000 -.763-.763 1.000
ANOVAa
SourceSum of Squares df Mean Squares
RegressionResidualUncorrected TotalCorrected Total
1681.562 2 840.78162.458 55 1.136
1744.020 5798.383 56
Dependent variable: toduR squared = 1 - (Residual Sum of Squares) / (Corrected Sum of Squares) = .365.a.
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LogRegressionTitleNotesDescriptive StatisticsCorrelationsVariables Entered/RemovedModel SummaryCoefficientsCollinearity DiagnosticsCasewise DiagnosticsResiduals StatisticsChartsTitle*zresid by *zpred Scatterplot
LogRegressionTitleNotesDescriptive StatisticsCorrelationsVariables Entered/RemovedModel SummaryCoefficientsExcluded VariablesCollinearity DiagnosticsCasewise DiagnosticsResiduals StatisticsChartsTitle*zresid by *zpred Scatterplot
LogNonlinear Regression AnalysisTitleNotesIteration HistoryParameter EstimatesCorrelations of Parameter EstimatesANOVA