2. An experiment was carried out to assess the impact of dose of gaseous carbon disulfide on beetle mortality. Computer Output 2 shows the results of a logistic regression predicting beetle mortality rate from log dose of carbon disulfide. (a) Present the fitted logit line. (b) Compute the estimated mortality rate when the log dose of carbon disulfide is equal to 1.8. (c) Compute the estimated odds ratio for the impact of a unit increase in log dose of carbon disulfide on odds of beetle mortality. (d) Compute the 95% confidence interval for the above odds ratio. (e) What can you conclude regarding the impact of log carbon disulfide dose on mortality rate in beetles? (f) Does the logistic regression model adequately describe the data. Present the evidence backing up your conclusion.Output 2: Beetle Mortality The GENMOD Procedure Model Information Data Set WORK. BEETLES Distribution Binomial Link Function Logit Response Variable (Events) Mortality Mortality Response Variable (Trials) Exposed Exposed Number of Observations Read Number of Observations Used Number of Events 291 Number of Trials 481 Criteria For Assessing Goodness Of Fit Criterion DF Value Value/DF Deviance 11.2322 1.8720 Scaled Deviance 6 11.2322 1.8720 Pearson Chi-Square 10.0268 1.6711 Scaled Pearson X2 6 10.0268 1.6711 Log Likelihood 186.2354 Full Log Likelihood 18.7151 AIC (smaller is better) 41.4303 AICC (smaller is better) 43.8303 BIC (smaller is better) 41.5892 Algorithm converged. Analysis Of Maximum Likelihood Parameter Estimates Wald 95% Standard Confidence Wald Parameter DF Estimate Error Limits Chi-Square Pr > ChiSq Intercept 1 -60.7175 5.1807 -70.8715 -50.5634 137.36 :.0001 Log_Dose 34.2703 2.9121 28.5626 39.9780 138.49 <.0001 scale>