ISYE 6414 - UNIT 4 QUESTIONS AND 100% CORRECT ANSWERS 2024

ISYE 6414 - UNIT 4 QUESTIONS AND
100% 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