10 Case Study: Regression Models

PRELIMINARY AND INCOMPLETE

In this case study, we will continue to analyze the “Absenteeism at Work Data Set.” We aim to predict absenteeism using a linear regression model. This statistical approach will allow us to explore and quantify the relationships between absenteeism and various explanatory variables. The selection of these variables will be guided by both the theoretical frameworks relevant to our research and the availability of data. By integrating theory with practical data considerations, our model will provide insights into the factors that influence absenteeism, thus facilitating more informed decision-making.