j) Identify the assumptions for the proposed model. [1 point] k) What are the li

Question

j) Identify the assumptions for the proposed model. [1 point]

k) What are the limitations for prediction with a model (Hint: . [2 points]

Quantitative Reasoning Outcomes Assessment Although more and more women are becoming physicians each year, it is well known that men outnumber women in many specialties. Randomly selected specialties are listed below with the numbers of male and female physicians in each Female Male 3482 6506 ecialt Dermatology Emergency medicine5098 20429 Neurology Radiology Pediatrics Ob/Gynecology Surger 289510088 12187574 5200 4280 3470 2135 28004030 Suppose we would like to predict the number of male specialists from number of female specialists with the specialty data provided in the table. Answer each of the following questions

Explanation / Answer

j) Identify the assumptions for the proposed model. [1 point]

Ans: The most approprite model for predicting the number of the male specialists from number of the female specialist is linear regression. The assumption for the proposed model is

a) The error follow a normal distribution with mean zero and variance sigma squrae.

b) The error are independent.

k) What are the limitations for prediction with a model (Hint: . [2 points]

Ans: a) The dependent variable must be continuous, in that it can take on any value, or at least close to continuous. b) The independent variables can be of any type.

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