The table below summarizes observations of workers in certain industrial plants in Houston, Texas Workers are classified by age, smoking status, and their breathing test results. Fit a baseline-...



  1. The table below summarizes observations of workers in certain industrial plants in Houston, Texas Workers are classified by age, smoking status, and their breathing test results.



  1. Fit a baseline- category logit model to the data by dummy approach and report the prediction equations. Interpret each estimated age effect.

  2. Which group is estimated to be most likely to have an abnormal breathing test result? Please justify your answer.

  3. Test to determine whether breathing test result is independent of smoking status.

  4. Test to determine whether the baseline-category logit model is adequate.




Document Preview:

Use SAS in answering the following questions, and give the output. For each hypothesis test, be sure to state the null and alternative hypotheses, test statistics, and conclusion. The table below summarizes observations of workers in certain industrial plants in Houston, Texas Workers are classified by age, smoking status, and their breathing test results. Fit a baseline- category logit model to the data by dummy approach and report the prediction equations. Interpret each estimated age effect. Which group is estimated to be most likely to have an abnormal breathing test result? Please justify your answer. Test to determine whether breathing test result is independent of smoking status. Test to determine whether the baseline-category logit model is adequate. The following table summarizes observations of passengers in cars and light trucks involved in accidents in Maine in 1991. Passengers are classified by location of accident, seat-belt use, and severity of injury. Severity of injury is classified as (1) not injured, (2) injured but not transported by emergency medical services (3) injured and transported by emergency medical services but not hospitalized (4) Injured and hospitalized but did not die (5) injured and died. Fit a cumulative logit model to the data by dummy variables approach and report the prediction equations. Interpret the estimated location effect and find Ls, the maximized log likelihood value for the saturated model. Construct a 95% confidence interval for the location effect and interpret the confidence interval. Conduct a test for effect of seat-belt use Starting from the cumulative logit model with interaction, find an appropriate model by the backward elimination method using aB*=0.05 Of the cumulative logit models The model with interaction The model with the main effects of location and seat-belt use The model with the main effect of location only The model with the main effect of seat-belt use only Which is preferred according...



May 08, 2022
SOLUTION.PDF

Get Answer To This Question

Related Questions & Answers

More Questions »

Submit New Assignment

Copy and Paste Your Assignment Here