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

Page 2

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.

Page 3

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

Page 6

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.

Page 8

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.

Page 9

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

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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.

Page 13

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