REGRESSION /DESCRIPTIVES MEAN STDDEV CORR SIG N /MISSING LISTWISE /STATISTICS COEFF OUTS R ANOVA COLLIN TOL CHANGE ZPP /CRITERIA=PIN(.05) POUT(.10) /NOORIGIN /DEPENDENT Sales /METHOD=STEPWISE RadioTV Newspaper /CASEWISE PLOT(ZRESID) OUTLIERS(1).

Regression

NotesOutput Created03-OCT-2015 09:11:15Comments

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N of Rows in Working Data File22Missing 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 COLLIN TOL CHANGE ZPP /CRITERIA=PIN(.05) POUT(.10) /NOORIGIN /DEPENDENT Sales /METHOD=STEPWISE RadioTV Newspaper /CASEWISE PLOT(ZRESID) OUTLIERS(1).ResourcesProcessor Time00:00:00.02

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Descriptive Statistics

MeanStd. DeviationNSales1225.1364345.5701022RadioTV43.181819.7933022Newspaper30.000011.7513922

Correlations

SalesRadioTVNewspaperPearson CorrelationSales1.000.697.502

RadioTV.6971.000-.092

Newspaper.502-.0921.000Sig. (1-tailed)Sales..000.009

RadioTV.000..342

Newspaper.009.342.NSales222222

RadioTV222222

Newspaper222222

Variables Entered/RemovedaModelVariables EnteredVariables RemovedMethod1RadioTV.Stepwise (Criteria: Probability-of-F-to-enter = .100).2Newspaper.Stepwise (Criteria: Probability-of-F-to-enter = .100).

a. Dependent Variable: Sales

Model SummarycModelRR SquareAdjusted R SquareStd. Error of the EstimateChange Statistics

R Square ChangeF Changedf11.697a.485.460254.05245.48518.85512.899b.809.789158.90413.32332.1221

Model SummarycModelChange Statistics

df2Sig. F Change120.000219.000

a. Predictors: (Constant), RadioTVb. Predictors: (Constant), RadioTV, Newspaperc. Dependent Variable: Sales

ANOVAaModelSum of SquaresdfMean SquareFSig.1Regression1216939.67111216939.67118.855.000b

Residual1290852.9202064542.646

Total2507792.59121

2Regression2028032.69021014016.34540.158.000c

Residual479759.9011925250.521

Total2507792.59121

a. Dependent Variable: Salesb. Predictors: (Constant), RadioTVc. Predictors: (Constant), RadioTV, Newspaper

CoefficientsaModelUnstandardized CoefficientsStandardized CoefficientstSig.Correlations

BStd. ErrorBeta

Zero-order1(Constant)699.957132.522

5.282.000

RadioTV12.1622.801.6974.342.000.6972(Constant)156.430126.758

1.234.232

RadioTV13.0811.759.7497.435.000.697

Newspaper16.7952.963.5715.668.000.502

CoefficientsaModelCorrelations

PartialPartToleranceVIF1(Constant)

RadioTV.697.6971.0001.0002(Constant)

RadioTV.863.746.9921.009

Newspaper.793.569.9921.009

a. Dependent Variable: Sales

Excluded VariablesaModelBeta IntSig.Partial CorrelationCollinearity Statistics

ToleranceVIF1Newspaper.571b5.668.000.793.9921.009

Excluded VariablesaModelCollinearity Statistics

Minimum Tolerance1Newspaper.992

a. Dependent Variable: Salesb. Predictors in the Model: (Constant), RadioTV

Collinearity DiagnosticsaModelDimensionEigenvalueCondition IndexVariance Proportions

(Constant)RadioTVNewspaper111.9131.000.04.04

2.0874.680.96.96

212.7911.000.01.02.01

2.1624.146.00.57.34

3.0477.731.99.41.65

a. Dependent Variable: Sales

Casewise DiagnosticsaCase NumberStd. ResidualSalesPredicted ValueResidual21.8301119.00828.2416290.758444-1.752625.00903.3294-278.329417-1.706931.001202.0890-271.089009-1.369882.001099.5396-217.53962131.4701044.00810.4645233.53552

a. Dependent Variable: Sales

Residuals Statisticsa

MinimumMaximumMeanStd. DeviationNPredicted Value810.46451743.88931225.1364310.7619422Residual-278.32941290.75845.00000151.1479722Std. Predicted Value-1.3341.669.0001.00022Std. Residual-1.7521.830.000.95122

a. Dependent Variable: Sales