Refer to Problem 13.14. Using an appropriate subset of width, weight, color, and spine condition as predictors, find and interpret a reasonable model for predicting the number of satellites.

Data from Problem 13.4:

For the counts of horseshoe-crab satellites in Table 4.3, Table 13.10 shows the results of ML fitting of the negative binomial model using width as the predictor, with the identity link.

Table 4.3:

Table 13.10:

Results of Capture-Recapture of Snowshoe Hares Capture 3, Capture 2, Capture 1 Capture Capture Capture 5 000 001 010 011 100 101 4 110 111 3 5 (24.0) (2.3) (5.4) (0.9) (3.2) (0.5) (1.2) (0.3) 3 2 3 (4.8) (0.8) (1.8) (0.5) (1.1) (0.3) (0.6) (0.3) 4 3 (3.9) (0.6) (1.5) (0.4) (0.9) (0.2) (0.5) (0.2) 1 (1.3) (0.3) (0.8) (0.3) (0.5) (0.2) (0.4) (0.3) (6.8) (1.1) (2.6) (0.6) (1.5) (0.4) (0.9) (0.4) 4 3 1 (2.3) (0.6) (1.3) (0.5) (0.8) (0.3) (0.7) (0.4) 2 1 1 1 (1.9) (0.5) (1.1) (0.4) (0.7) (0.3) (0.6) (0.4) 2 (1.0) (0.4) (0.9) (0.5) (0.5) (0.3) (0.7) (0.7) "Values in parentheses represent the fit of the logistic-normal model. 2. 2. 2. 1. 2. 1.