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ISYE 6414 - UNIT 4 QUESTIONS AND 100% CORRECT ANSWERS 2024
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ISYE 6414 - UNIT 4 QUESTIONS AND 100% CORRECT ANSWERS 2024
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ISYE 6414 - UNIT 4 QUESTIONS AND100% CORRECT ANSWERS 2024
InLlogisticLregression,LweLmodelLthe__________________,LnotLtheLresponseLvariable,LgivenLtheLpredictingL
variables.L-LANSWERLprobabilityLofLaLsuccess
gLlinkLfunctionL-LANSWERLlinkLtheLprobabilityLofLsuccessLtoLtheLpredictingLvariables
3LassumptionsLofLtheLlogisticLregressionLmodelL-LANSWERLLinearity,LIndependence,LLogitLlinkLfunction
LinearityLassumptionLforLaLLogisticLModelL-
LANSWERLSimilarLtoLtheLregressionLmodelLweLhaveLlearnedLinLtheLpreviousLlectures,LtheLrelationshipLweLas
sumeLnow,LbetweenLtheLlink,LtheLgLofLtheLprobabilityLofLsuccessLandLtheLpredictedLvariable,LisLaLlinearLfunct
ion.
LogitLlinkLfunctionLassumptionL-
LANSWERLTheLlogisticLregressionLmodelLassumesLthatLtheLlinkLfunctionLisLaLso-
calledLlogitLfunction.LThisLisLanLassumptionLsinceLtheLlogitLfunctionLisLnotLtheLonlyLfunctionLthatLyieldsLs-
shapedLcurves.LAndLitLwouldLseemLthatLthereLisLnoLreasonLtoLpreferLtheLlogitLtoLotherLpossibleLchoices.
LogLoddsLfunctionL-
LANSWERLTheLlogitLfunctionLwhichLisLtheLlogLofLtheLratioLbetweenLtheLprobabilityLofLaLsuccessLandLtheLprob
abilityLofLaLfailure
WhatLisLtheLinterpretationLofLcoefficientLBetaLinLtermsLofLlogisticLregression?L-
LANSWERLtheLlogLofLtheLoddsLratioLforLanLincreaseLofLoneLunitLinLtheLpredictingLvariable,LholdingLallLotherLv
ariablesLconstant
WeLinterpretLtheLbetaLinLaLlogisticLregressionLmodelLinLrespectLto?L-LANSWERLtoLtheLoddsLofLsuccess
WhatLmethodLdoLweLuseLtoLestimateLtheLmodelLparameters?L-
LANSWERLMaximumLLikelihoodLEstimationLapproach
LogisticLregressionLisLdifferentLfromLstandardLlinearLregressionLinLthat:
, A)LItLdoesLnotLhaveLanLerrorLterm
B)LTheLresponseLvariableLisLnotLnormallyLdistributed.
C)LItLmodelsLprobabilityLofLaLresponseLandLnotLtheLexpectationLofLtheLresponse.
D)LAllLofLtheLabove.L-LANSWERLD
WhichLoneLisLcorrect?
A)LTheLlogitLlinkLfunctionLisLtheLonlyLlinkLfunctionLthatLcanLbeLusedLforLmodelingLbinaryLresponseLdata.
B)LLogisticLregressionLmodelsLtheLprobabilityLofLaLsuccessLgivenLaLsetLofLpredictingLvariables.
C)LTheLinterpretationLofLtheLregressionLcoefficientsLinLlogisticLregressionLisLtheLsameLasLforLstandardLlinearLr
egressionLassumingLnormality.
D)LNoneLofLtheLabove.L-LANSWERLB
InLlogisticLregression,
A)LTheLestimationLofLtheLregressionLcoefficientsLisLbasedLonLmaximumLlikelihoodLestimation.
B)LWeLcanLderiveLexactL(closeLformLexpression)LestimatesLforLtheLregressionLcoefficients.
C)LTheLestimationsLofLtheLregressionLcoefficientsLisLbasedLonLminimizingLtheLsumLofLleastLsquares.
D)LAllLofLtheLabove.L-LANSWERLA
UsingLtheLRLstatisticalLsoftwareLtoLfitLaLlogisticLregression,
A)LWeLcanLuseLtheLlm()Lcommand.
B)LTheLinputLofLtheLresponseLvariableLisLexactlyLtheLsameLifLtheLbinaryLresponseLdataLareLwithLorLwithoutLre
plications.
C)LWeLcanLobtainLbothLtheLestimatesLandLtheLstandardLdeviationsLofLtheLestimatesLforLtheLregressionLcoeffi
cients.
D)LNoneLofLtheLabove.L-LANSWERLC
UsingLMLE,LcanLweLderiveLestimatedLcoefficients/parametersLinLexactLform?L-
LANSWERLNo,LtheyLareLapproximateLestimatedLparameters
TheLsamplingLdistributionLofLMLEsLcanLbeLapproximatedLbyLa...L-LANSWERLnormalLdistribution
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