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Unformatted text preview: 2. Problem 8.9 in Agresti. 3. Problem 9.16 in Agresti. 4. Problem 9.21 in Agresti. 5. Problem 13.8 (parts ac only) in Agresti. 6. Refer to problems 13.1413.16 in Agresti. Using width and qualitative color as predictors, t both a Poisson GLM, and a negative binomial GLM to these data (number of horseshoe-crab satellites), checking for interaction and interpreting the nal model. Here you should identify which of these models is more appropriate and summarize all the relevant statistical results that support your choice of model for these data. In addition, comment on the goodness of t of your chosen model and summarize whatever inferences regarding the eects of width and color you feel are appropriate for these data....
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This note was uploaded on 11/13/2011 for the course STAT 8620 taught by Professor Hall during the Fall '11 term at University of Florida.
- Fall '11