Refer to the loglinear models for Table 8.8. a. Explain why the fitted odds ratios in Table 8.10 for model ( GI , GL , GS , IL , IS , LS )suggest that the most likely accident case for injury is...


Refer to the loglinear models for Table 8.8.



a.Explain why the fitted odds ratios in Table 8.10 for model (GI,GL,GS,IL,IS,LS)suggest that the most likely accident case for injury is females not wearing seat belts in rural locations.



b.Fit model(GLS,GI,IL,IS). Using model parameter estimates, show that the fittedISconditional odds ratio equals 0.44. Show that for each injury level, the estimated conditionalLSodds ratio is 1.17 for(G=female)and 1.03 for (G=male). How can you get these using the model parameter estimates?



TABLE 8.8 Loglinear Models for Injury, Seat-Belt Use, Gender, and Location
a























































































































Gender



Location



Seat Belt



Injury



(GI, GL, GS, IL, IS, LS)



(GLS, GI, IL, IS



Sample Proportion Yes



No



Yes



No



Yes



No



Yes



Female



Urban



No



7,287



996



7,166.4



993.0



7,273.2



1,009.8



0.12







Yes



11,587



759



11,748.3



721.3



11,632.6



713.4



0.06





Rural



No



3,246



973



3,353.8



988.8



3,254.7



964.3



0.23







Yes



6,134



757



5,985.5



781.9



6,093.5



797.5



0.11



Male



Urban



No



10,381



812



10,471.5



845.1



10,358.9



834.1



0.07







Yes



10,969



380



10,837.8



387.6



10,959.2



389.8



0.03





Rural



No



6,123



1,084



6,045.3



1,038.1



6,150.2



1,056.8



0.15







Yes



6,693



513



6,811.4



518.2



6,697.6



508.4



0.07




May 25, 2022
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