Professional Assignment 2 CLO 1, CLO 2, CLO 3, CLO 4, CLO 5
The link below directs you to a file that contains mortality information from a nursing home during the year 2015. The variable died indicates that if the patient died before the end of the year. Given this data, develop a logistic regression model, which predicts probability of death of a guest during any year by the end of that year, given the age and the dummy variable gender.
The personnel director of a firm has developed two tests to help determine whether potential employees would perform successfully in a particular position. To help estimate the usefulness of the tests, the director gives both tests to 43 employees that currently hold the position. Table 5 gives the scores of each employee on both tests and indicates whether the employee is currently performing successfully or unsuccessfully in the position. If the employee is performing successfully, we set the dummy variable Group is set equal to 1; if the employee is performing unsuccessfully, we set Group equal to 0. Let x1 and x2 denote the scores of a potential employee on tests 1 and 2.
Perform a discriminant analysis on the data and interpret the result, including the confusion matrix. Include all required steps in assessing the final model. By trial and error, find the threshold, which minimizes prediction relative error.
Please provide your work in detail and include in-text citations. At least five references are required for PAs and CLAs
1. Paper needs to be formatted in APA 7th edition
2. Explain your work in detail and provide an in-text citation.
3. Need to have at least 6 peer-reviewed articles as the references (Recommend to find the articles from ProQuest.
4. Need to include the textbook as the references.
6. Please find the textbook and class PPTs in the attachment section.
7. Textbook Information:
Bowerman, B., Drougas, A. M., Duckworth, A. G., Hummel, R. M. Moniger, K. B., & Schur, P. J. (2019). Business statistics and analytics in practice (9th ed.). McGraw-Hill
8. Please find the image of table 5 in the attachment
9. Please find the Course Learning Outcome list of this course in the attachment
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