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  • 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

    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