Describe the key metrics and propose possible causal

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Reference no: EM133518152

Case Study: The HR Policy Recommendation Project is an extension of Assignment 2 (Data Analysis and presentation), and will be undertaken individually. The Project needs to propose possible casual relationships between each of the business outcome metrics (dependent variables) and other metrics (independent variables) you have chosen in Assignment 2, test these relationships using predictive analytics techniques (regression), and provide recommendations on how the organization should improve staffing practices to enhance organizational performance (when you run regression with profitability being the dependent variable, you also need to include other business outcome metrics such as productivity as additional independent variables).

Questions: The Project should include the following:

a. Introduction

b. Describe the key metrics and propose possible causal relationships between them

c. Analyse relationship between key HR metrics using predictive analytics methods (you must specify the regression models you use, and explain the key regression output. The original regression output must be attached as an appendix).

d. Provide recommendations on HR policy to enhance organizational performance

 

Reference no: EM133518152

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