Refer to Problem 4.7. Using the identity link with x = weight, µÌ = 2.60 + 2.264x,

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Refer to Problem 4.7. Using the identity link with x = weight, µÌ‚ = €“2.60 + 2.264x, where β̂ = 2.264 has SE = 0.228. Repeat parts (a) through (c).


Data from Prob. 4.7:

For Table 4.3, Table 4.7 shows SAS output for a Poisson loglinear model fit using X = weight and Y = number of satellites.

a. Estimate E(Y) for female crabs of average weight, 2.44 kg.

b. Use β̂ to describe the weight effect. Show how to construct the reported confidence interval.

c. Construct a Wald test that Y is independent of X. Interpret.


Table 4.3:

Number of Crab Satellites by Female's Characteristics

Table 4.7:

Value 560.8664 Criterion Deviance Pearson Chi- Square Log Likelihood DF 171 171 535.8957 71.9524 Parameter Estimate Std

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