Suppose that four patients have elective surgery at a clinic C. Let X ₁ ;:::; X ₄ denote the surgery length (in hours). Let Y ₁ ;:::; Y ₄ denote the number of nurse visits during the first day (day of the surgery). The number of nurse visits per day is associated with the length of stay through the model Y _i  ∼ Poisson (µ _i ), where µ _i = exp(β + x _i ). The following table shows the observed values for four patients during the first day.

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a) What are the response and independent variable(s) in this model? Find the Maximum Likelihood estimator of 3 (i.e. B) ? c) Evaluate B for the data shown above. d) Plot the estimated best fit function. Include the observed points for the four patients. Note: Remember that the fit is an exponential curve. You can do it in R, excel, etc. b) a) What are the response and independent variable(s) in this model? Find the Maximum Likelihood estimator of 3 (i.e. B) ? c) Evaluate B for the data shown above. d) Plot the estimated best fit function. Include the observed points for the four patients. Note: Remember that the fit is an exponential curve. You can do it in R, excel, etc. b)

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The model is the multiple services and infinite queue lengths It is represented by Kendals nota... View the full answer