MBAS903 - Business Analytics Application - Management Assignment Help

Assignment Task

Purpose: Prepare a report for your client to allow them to gain insights into the causal link between demographic characteristics of their employees and absenteeism from work.

Business Analytics Applications: descriptive analytics, regression analysis

Background: The Absenteeism dataset in SAS contains data on employees’ absenteeism and demographic characteristics. The client is interested in whether there are certain demographic characteristics of employees that makes them more susceptible to workplace absence.

Guidelines: Develop a regression model to predict the target variable “absenteeism in hours”. In developing 1 to 3 preferred models you should adhere to best practice modelling guidelines

Executive summary – one paragraph overview of full project including summary of results

Introduction – set the scene and background of issue/problem (broad to specific issues)

Literature review – critical summary of research literature estimating employee absenteeism models (start with a short summary of each paper, then structure your paragraphs around themes you identify (eg. variables used, methods) and discuss similarities or differences you identify in your research – aim for at least 4 journal articles)

Methodology – discuss the process you will follow (eg. Descriptive analytics, checking for multicollinearity between x variables, process of explanatory variable selection and treatment of outliers etc – no results to appear in this section)

Body and analysis – descriptive analytics results, quick summary of the process and steps ultimately taken in your regression analysis present to arrive at your chosen models (between 1 and 3 max), then focus on discussion and interpret of the chosen model(s)

Conclusions – wrap up the exercise with recommendations for client

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