商務(wù)統(tǒng)計全套配套課件[美]AmirD.AczelJayavelSounderpandian著譚英平等譯Chap010.ppt

《商務(wù)統(tǒng)計全套配套課件[美]AmirD.AczelJayavelSounderpandian著譚英平等譯Chap010.ppt》由會員上傳分享，免費在線閱讀，更多相關(guān)內(nèi)容在教育資源-天天文庫。

1、COMPLETEBUSINESSSTATISTICSbyAMIRD.ACZEL&JAYAVELSOUNDERPANDIAN6thedition.Chapter10SimpleLinearRegressionandCorrelationUsingStatisticsTheSimpleLinearRegressionModelEstimation:TheMethodofLeastSquaresErrorVarianceandtheStandardErrorsofRegressionEstimatorsCorrelationHypothesi

2、sTestsabouttheRegressionRelationshipHowGoodistheRegression?AnalysisofVarianceTableandanFTestoftheRegressionModelResidualAnalysisandCheckingforModelInadequaciesUseoftheRegressionModelforPredictionTheSolverMethodforRegressionSimpleLinearRegressionandCorrelation10Determinewhe

3、theraregressionexperimentwouldbeusefulinagiveninstanceFormulatearegressionmodelComputearegressionequationComputethecovarianceandthecorrelationcoefficientoftworandomvariablesComputeconfidenceintervalsforregressioncoefficientsComputeapredictionintervalforthedependentvariable

4、LEARNINGOBJECTIVES10Afterstudyingthischapter,youshouldbeableto:TesthypothesisaboutaregressioncoefficientsConductanANOVAexperimentusingregressionresultsAnalyzeresidualstocheckiftheassumptionsabouttheregressionmodelarevalidSolveregressionproblemsusingspreadsheettemplatesAppl

5、ycovarianceconcepttolinearcompositesofrandomvariablesUseLINESTfunctiontocarryoutaregressionLEARNINGOBJECTIVES(continued)10Afterstudyingthischapter,youshouldbeableto:10-1UsingStatisticsRegressionreferstothestatisticaltechniqueofmodelingtherelationshipbetweenvariables.Insimp

6、lelinearregression,wemodeltherelationshipbetweentwovariables.Oneofthevariables,denotedbyY,iscalledthedependentvariableandtheother,denotedbyX,iscalledtheindependentvariable.ThemodelwewillusetodepicttherelationshipbetweenXandYwillbeastraight-linerelationship.Agraphicalsketch

7、ofthethepairs(X,Y)iscalledascatterplot.Thisscatterplotlocatespairsofobservationsofadvertisingexpendituresonthex-axisandsalesonthey-axis.Wenoticethat:Larger(smaller)valuesofsalestendtobeassociatedwithlarger(smaller)valuesofadvertising.ScatterplotofAdvertisingExpenditures(X)

8、andSales(Y)50403020100140120100806040200AdvertisingSalesThescatterofpointstendstobedistri