'Risk Assignment\r'

'498 Assignment 4 Spring 2013 Due Date: March 26, 2013 1. turn over the Luxury Seaside Hotel Risk Management subject field you put together in your previous assignment. be bind the following questions regarding each one of the risk sources you have identified (at least 4). i)If you desired to follow a statistical approach in the assessment of the risk, what backbreaking data would you need, what hard data do you regain would be avail sufficient, what near misfortune data could be used to support the available insufficient accident/failure data? i) What would be the key prospect distributions of interest, which of these do you think you would be able to venture (given the data environs that you have imagined in (i))? iii)What infantile fixation relationships would be of interest, which of these do you think you would be able to accomplish (given the data environment that you have imagined in (i))? Guideline for Answering / Grading: i)Data availability/ unavailability scenari os should be reasonable and based on facts, observations, assumptions, examples, beliefs. the tie in discussions could be very(prenominal) brief). ii)Suggestions for the key random uncertains and the associated opportunity functions should be clearly stated and based on well founded arguments (again, the related discussions need not be very long). Parameters of these distributions and how are they to be estimated from the data environment imagined in (i) should be clearly stated. ii)Suggestions for the regression relationships should be clearly stated and based on well founded arguments (again, the related discussions need not be very long).Related independent and dependent variables should be well defined. 2. A researcher from Virginia Polytechnic Institute and State University is enkindle in how variables, such as GRE (Graduate Record interrogatory scores), GPA (grade point average) and prestige of the undergraduate institution, matter admission into graduate school. Since the response variable, admit/dont admit, is a binary variable, she considered logistic regression.A small data peck is conducted to fit a logistic regression equivalence relating the admit/don’t admit ending y to GRE score x1, GPA score x2, and prestige of the undergraduate institution x3.. The data set is give in both excel and SPSS data format, which ignore be obtained from course website by downloading binary. xlsx or binary. sav. The project of this homework is to use logistic regression to beat at an appropriate model that predicts the outcome variable admit, using gre, gpa, and rank.\r\n'