I intend to leverage line charts and a variety of visual tools to conduct a detailed analysis of how earnings growth rates vary over time across different departments, using time series analysis methods. This analysis will focus on tracking changes in earnings over time and spotting any notable deviations that show exceptionally high or low growth compared to other departments. To achieve this, I will employ statistical methods such as calculating the coefficient of variation.
Additionally, my approach will include the use of regression analysis, specifically focusing on multiple linear regression. This technique will be crucial in shedding light on the main factors that influence overtime pay. It will involve examining variables like length of service, department, and job category to determine their impact on overtime wages. With multiple linear regression, the aim is to determine the extent of the correlation between various independent variables (like type of job and experience level) and the dependent variable, which in this case is overtime compensation.
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