The HR Policy Recommendation Project is an extension of Assignment 2, and will be undertaken individually. Extending the data analysis and presentation in Assignment 2, the Project needs to propose possible casual relationships between the chosen metrics, test these relationships using predictive analytics techniques, and provide recommendations on how the organization should improve staffing practices to enhance organizational performance. In writing up the Project, you are advised to refer to what are discussed in the seminar on “Predictive Analytics in Action” and Chapter 6 of the textbook, and apply predictive analytics methods to justify your policy recommendations. The Project should be 2,000 words in length (plus or minus 10%), excluding cover page, reference list and appendix (you may include the original regression output in the appendix). If you need to use Charts/Tables/Dashboard already presented in Assignment 2, please put them in the appendix. You need to submit the Project via LMS on Thursday, Week 13 at 5pm. An assignment cover sheet must be attached to the assignment. The Project should include the following: a. Introduction b. Analyse relationship between key HR metrics using predictive analytics methods (you must specify the regression models you use, and explain the key regression output. Original regression output should be attached as appendix). c. Provide recommendations on HR policy to enhance organizational performance d. Conclusion