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ISYE 6414 Regression Modules 1-2 Exam Questions And ANSWERS. $10.99   Add to cart

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ISYE 6414 Regression Modules 1-2 Exam Questions And ANSWERS.

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ISYE 6414 Regression Modules 1-2 Exam Questions And ANSWERS.ISYE 6414 Regression Modules 1-2 Exam Questions And ANSWERS.ISYE 6414 Regression Modules 1-2 Exam Questions And ANSWERS.ISYE 6414 Regression Modules 1-2 Exam Questions And ANSWERS.ISYE 6414 Regression Modules 1-2 Exam Questions And ANSWERS...

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ISYE 6414 Regression Modules 1-2 Exam
Questions And ANSWERS


Assuming ithat ithe idata iare inormally idistributed, iunder ithe isimple ilinear imodel, ithe iestimated
ivariance ihas ithe ifollowing isampling idistribution: i- icorrect iAnswers i✔✔ i-Chi-squared iwith in-2
idegrees iof ifreedom.


The ifitted ivalues iare idefined ias? i- icorrect iAnswers i✔✔ i-The iregression iline iwith iparameters
ireplaced iwith ithe iestimated iregression icoefficients.


The iestimators ifo ithe ilinear iregression imodel iare iderived iby? i- icorrect iAnswers i✔✔ i-Minimizing ithe
isum iof isquared idifferences ibetween ithe iobserved iand iexpected ivalues iof ithe iresponse ivariable.


The iestimators ifor ithe iregression icoefficients iare: i- icorrect iAnswers i✔✔ i-Unbiased iregardless iof ithe
idistribution iof ithe idata.


The iassumption iof inormality: i- icorrect iAnswers i✔✔ i-Is ineeded ifor ithe isampling idistribution iof ithe
iestimators iof ithe iregression icoefficients iand ihence ifor iinference.


The iestimated iversus ipredicted iregression iline ifor ia igiven ix* i- icorrect iAnswers i✔✔ i-have ithe isame
iexpectation.


The ivariability iin ithe iprediction icomes ifrom i- icorrect iAnswers i✔✔ i-the ivariability idue ito ia inew
imeasurement iand idue ito iestimation.


Residual ianalysis ican ionly ibe iused ito iassess iuncorrelated ierrors. i- icorrect iAnswers i✔✔ i-False

Independence iassumption ican ibe iassess iusing ithe inormal iprobability iplot. i- icorrect iAnswers i✔✔ i-
False

Independence iassumption ican ibe iassessed iusing ithe iresiduals ivs ifitted ivalues. i- icorrect iAnswers i✔✔
i-False


We idetect ideparture ifrom ithe iassumption iof iconstant ivariance i- icorrect iAnswers i✔✔ i-when ithe
iresiduals ivs ifitted ivalues iare ilarger iin ithe iends ibut ismaller iin ithe imiddle.


If ia ideparture ifrom inormality iis idetected, iwe itransform ithe ipredicting ivariable ito iimprove iupon ithe
inormality iassumption. i- icorrect iAnswers i✔✔ i-False

, If ia ideparture ifrom ithe iindependence iassumption iis idetected, iwe itransform ithe iresponse ivariable
ito iimprove iupon ithe iindependence iassumption. i- icorrect iAnswers i✔✔ i-False


The iBox-Cox itransformation iis icommonly iused ito iimprove iupon ithe ilinearity iassumption. i- icorrect
iAnswers i✔✔ i-False


In ievaluating ia isimple ilinear imodel i- icorrect iAnswers i✔✔ i-there iis ia idirect irelationship ibetween ithe
icoefficient iof idetermination iand ithe icorrelation ibetween ithe ipredicting iand iresponse ivariables.


Goodness iof ifit iassessment iis idone iby i- icorrect iAnswers i✔✔ i-residual ianalysis

R-squared i(the icoefficient iof ivariation) iis iinterpreted ias i- icorrect iAnswers i✔✔ i-the ipercentage iof
ivariability iin ithe iresponse ivariable iexplained iby ithe imodel.


The iparameters iof iANOVA iare i- icorrect iAnswers i✔✔ i-the ik isample imeans iand ithe ipopulation
ivariance.


The ipooled ivariance iestimator iis i- icorrect iAnswers i✔✔ i-the isample ivariance iestimator iassuming
iequal ivariances.


In iANOVA, ithe imean isum iof isquares idivided iby iN-1 iis i- icorrect iAnswers i✔✔ i-the isample ivariance
iestimator iassuming iequal imeans iand iequal ivariances.


MSE imeasures i- icorrect iAnswers i✔✔ i-the iwithin-treatment ivariability.

MSSTr imeasures i- icorrect iAnswers i✔✔ i-the ibetween itreatment ivariability.

If iwe ireject ithe itest iof iequal imeans, iwe iconclude ithat iat ileast ione ipair iof imeans iare idifferent. i-
icorrect iAnswers i✔✔ i-True


If iwe ido inot ireject ithe itest iof iequal imeans, iwe iconclude ithat imeans iare idefinitely iall iequal. i-
icorrect iAnswers i✔✔ i-False


If iwe ireject ithe itest iof iequal imeans, iwe iconclude ithat iall itreatment imeans iare inot iequal. i- icorrect
iAnswers i✔✔ i-False


In iANOVA, ithe iobjective iof iresidual ianalysis iis ito i- icorrect iAnswers i✔✔ i-evaluate idepartures ifrom
ithe imodel iassumptions.


In iANOVA, ithe iobjective iof ithe ipairwise icomparison iis i- icorrect iAnswers i✔✔ i-To iidentify ithe
istatistically isignificant idifferent imeans


For iassessing ithe inormality iassumption iof ithe iANOVA imodel, iwe ican ionly iuse ithe iquantile-quantile
inormal iplot iof ithe iresiduals. i- icorrect iAnswers i✔✔ i-False


The iconstant ivariance iassumption iis idiagnosed iusing ithe ihistogram? i- icorrect iAnswers i✔✔ i-False

The iestimator isigma^2 iis ia irandom ivariable? i- icorrect iAnswers i✔✔ i-True

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