OUTPUT Uji Regresi Linier Berganda

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4.1.6. Uji Regresi Linier Berganda

REGRESSION/DESCRIPTIVESMEANSTDDEVCORRSIGN/MISSINGLISTWISE/STATISTICSCOEFFOUTSRANOVA/CRITERIA=PIN(.05)POUT(.10)/NOORIGIN/DEPENDENTKelimpahan/METHOD=ENTERKedalamanKecerahanDOPHSuhuSalinitasArusPhosphatNitrat/SCATTERPLOT=(Kelimpahan,*ZRESID)/RESIDUALSHIST(ZRESID)NORM(ZRESID).

Regression

NotesOutput Created04-Dec-2013 02:04:08Comments

InputDataC:\Users\Lenovo\Documents\Anindya Putri Fadmawati_26020112120008_Uji Regresi Linier Berganda.sav

Active DatasetDataSet0

Filter

Weight

Split File

N of Rows in Working Data File3Missing Value HandlingDefinition of MissingUser-defined missing values are treated as missing.

Cases UsedStatistics are based on cases with no missing values for any variable used.SyntaxREGRESSION /DESCRIPTIVES MEAN STDDEV CORR SIG N /MISSING LISTWISE /STATISTICS COEFF OUTS R ANOVA /CRITERIA=PIN(.05) POUT(.10) /NOORIGIN /DEPENDENT Kelimpahan /METHOD=ENTER Kedalaman Kecerahan DO PH Suhu Salinitas Arus Phosphat Nitrat /SCATTERPLOT=(Kelimpahan ,*ZRESID) /RESIDUALS HIST(ZRESID) NORM(ZRESID).

ResourcesProcessor Time00:00:00.343

Elapsed Time00:00:00.202

Memory Required4516 bytes

Additional Memory Required for Residual Plots848 bytes

[DataSet0]C:\Users\Lenovo\Documents\AnindyaPutriFadmawati_26020112120008_UjiRegresiLinierBerganda.sav

WarningsFor models with dependent variable kelimpahan, the following variables are constants or have missing correlations: nitrat. They will be deleted from the analysis.For the final model with dependent variable kelimpahan, the variance- covariance matrix is singular. Influence statistics cannot be computed.The chart: Kelimpahan by *zresid Scatterplot is not produced because it is empty.

Descriptive Statistics

MeanStd. DeviationNkelimpahan3.66413E216.1967073kedalaman1.26333.0288683kecerahan1.26333.0288683DO4.21333.3214553PH7.28000.1000003suhu3.07467E1.5773503salinitas3.17467E11.5275253arus6.146673.8591883phosphat.09267.0202073nitrat.08500.0000003

Correlations

kelimpahankedalamankecerahanDOPHsuhusalinitasarusphosphatnitratPearson Correlationkelimpahan1.000.553.553.996.834.446.249.985-.553.

kedalaman.5531.0001.000.629.000-.500.945.688..

kecerahan.5531.0001.000.629.000-.500.945.688..

DO.996.629.6291.000.778.359.339.997-.629.

PH.834.000.000.7781.000.866-.327.726.000.

suhu.446-.500-.500.359.8661.000-.756.284.500.

salinitas.249.945.945.339-.327-.7561.000.413-.945.

arus.985.688.688.997.726.284.4131.000-.688.

phosphat-.553..-.629.000.500-.945-.6881.000.

nitrat.........1.000Sig. (1-tailed)kelimpahan..314.314.030.186.353.420.055.314.000

kedalaman.314..000.284.500.333.106.258.000.000

kecerahan.314.000..284.500.333.106.258.000.000

DO.030.284.284..216.383.390.025.284.000

PH.186.500.500.216..167.394.242.500.000

suhu.353.333.333.383.167..227.408.333.000

salinitas.420.106.106.390.394.227..365.106.000

arus.055.258.258.025.242.408.365..258.000

phosphat.314.000.000.284.500.333.106.258..000

nitrat.000.000.000.000.000.000.000.000.000.Nkelimpahan3333333333

kedalaman3333333333

kecerahan3333333333

DO3333333333

PH3333333333

suhu3333333333

salinitas3333333333

arus3333333333

phosphat3333333333

nitrat3333333333

Variables Entered/RemovedbModelVariables EnteredVariables RemovedMethod1phosphat, PHa.Entera. Tolerance = .000 limits reached.

b. Dependent Variable: kelimpahan

Model SummarybModelRR SquareAdjusted R SquareStd. Error of the Estimate11.000a1.000..a. Predictors: (Constant), phosphat, PH

b. Dependent Variable: kelimpahan

ANOVAbModelSum of SquaresdfMean SquareFSig.1Regression524.6672262.333..a

Residual.0000.

Total524.6672

a. Predictors: (Constant), phosphat, PH

b. Dependent Variable: kelimpahan

CoefficientsaModelUnstandardized CoefficientsStandardized CoefficientstSig.

BStd. ErrorBeta

1(Constant)-575.349.000

..

PH135.000.000.834..

phosphat-442.857.000-.553..a. Dependent Variable: kelimpahan

Excluded VariablesbModelBeta IntSig.Partial CorrelationCollinearity Statistics

Tolerance1kedalaman.a....000

kecerahan.a....000

DO.a....000

suhu.a....000

salinitas.a....000

arus.a....000a. Predictors in the Model: (Constant), phosphat, PH

b. Dependent Variable: kelimpahan

Residuals Statisticsa

MinimumMaximumMeanStd. DeviationNPredicted Value3.56080E23.85080E23.66413E216.1967073Residual.000000.000000.000000.0000003Std. Predicted Value-.6381.152.0001.0003Std. Residual....0a. Dependent Variable: kelimpahan