FortheScottishhillracesdata(Section 6.1.4) inthe ScotsRaces data file,itisplausiblethat the recordtimesaremorevariableathighervaluesofdistanceandclimb. (a) Usingtheidentitylinkfunction,fitthegammaGLMtothewomensrecordtimeswith distance andclimbasexplanatoryvariables.Describehowtheestimatedconditionalstan- dard deviationoftheresponserelatestotheestimatedmean.Specifyhowitchanges betweentheminimumandmaximumestimatedmeanvaluesforthissample.Isitclose to constant,likethenormalmodelassumes?
Question:
FortheScottishhillracesdata(Section 6.1.4) inthe ScotsRaces data file,itisplausiblethat the recordtimesaremorevariableathighervaluesofdistanceandclimb.
(a) Usingtheidentitylinkfunction,fitthegammaGLMtothewomen’srecordtimeswith distance andclimbasexplanatoryvariables.Describehowtheestimatedconditionalstan-
dard deviationoftheresponserelatestotheestimatedmean.Specifyhowitchanges betweentheminimumandmaximumestimatedmeanvaluesforthissample.Isitclose to constant,likethenormalmodelassumes?
(b) AccordingtoAIC,whichisthepreferredmodelwithidentitylink,thegammaGLMor the normalGLM?
(c) FitthegammaGLMpermittinginteractionbetweendistanceandclimbintheireffects.
Describehowtheeffectonrecordtimeofa1 km increase indistancechangesbetween the minimumandmaximumclimbvaluesof0.185and2.40 km.
Step by Step Answer:
Foundations Of Statistics For Data Scientists With R And Python
ISBN: 9780367748456
1st Edition
Authors: Alan Agresti