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Access the horseshoe crab data. Let Y = 1 if a crab has a least one satellite, and let Y = 0 otherwise. Using weight

Access the horseshoe crab data. Let Y = 1 if a crab has a least one satellite, and let Y = 0 otherwise. Using weight as the predictor,

(a) fit the linear probability model. Interpret the parameter estimates. Find the predicted probability at the highest observed weight of 5.20 kg. Comment.

(b) Fit the logistic regression model. Interpret the parameter estimates. Find the predicted probability at the weight of 5.20 kg. Compare the results of (a) and (b).

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