Table 7.1 Beetles Killed After Exposure to Carbon DisulfideFitted ValuesLog Dose Number of Beetles Number Killed Comp. Log-Log Probit Logit
1.6907 59 6 5.6 3.4 3.5
1.7242 60 13 11.3 10.7 9.8
1.7552 62 18 21.0 23.5 22.5
1.7842 56 28 30.4 33.8 33.9
1.8113 63 52 47.8 49.6 50.1
1.8369 59 53 54.1 53.3 53.3
1.8610 62 61 61.1 59.7 59.2
1.8839 60 60 59.9 59.2 58.7
For the flour beetle mortality data in table 7.1, fit models using the (a) logit, (b) probit, (c) complementary log-log, and (d) log-log links, with dosage entered in the model in standardized form. Report and interpret model parameter estimates. What aspect of the data pattern causes the model with log-log link to fit so poorly?
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Table 7.1 Beetles Killed After Exposure to Carbon Disulfide Fitted Values Log Dose Number of Beetles Number Killed Comp. Log-Log Probit Logit 1.6907 59 6 5.6 3.4 3.5 1.7242 60 13 11.3 10.7 9.8 1.7552 62 18 21.0 23.5 22.5 1.7842 56 28 30.4 33.8 33.9 1.8113 63 52 47.8 49.6 50.1 1.8369 59 53 54.1 53.3 53.3 1.8610 62 61 61.1 59.7 59.2 1.8839 60 60 59.9 59.2 58.7 For the flour beetle mortality data in table 7.1, fit models using the (a) logit, (b) probit, (c) complementary log-log, and (d) log-log links, with dosage entered in the model in standardized form. Report and interpret model parameter estimates. What aspect of the data pattern causes the model with log-log...
Table 7.1 Beetles Killed After Exposure to Carbon Disulfide Fitted Values Log Dose Number of Beetles Number Killed Comp. Log-Log Probit Logit 1.6907 59 6 5.6 3.4 3.5 1.7242 60 13 11.3 10.7 9.8 1.7552 62 18 21.0 23.5 22.5 1.7842 56 28 30.4 33.8 33.9 1.8113 63 52 47.8 49.6 50.1 1.8369 59 53 54.1 53.3 53.3 1.8610 62 61 61.1 59.7 59.2 1.8839 60 60 59.9 59.2 58.7 For the flour beetle mortality data in table 7.1, fit models using the (a) logit, (b) probit, (c) complementary log-log, and (d) log-log links, with dosage entered in the model in standardized form. Report and interpret model parameter estimates. What aspect of the data pattern causes the model with log-log link to fit so poorly?