This report presents a statistical analysis of the impact of age, weekly working hours, and leisure time on weekly earnings. The study employs descriptive statistics, correlation analysis, and regression modeling to explore the relationships between these variables. The analysis includes outlier removal and data cleaning to ensure the reliability of the results. The report investigates the distribution of weekly earnings and leisure time across gender and education levels, using inferential statistics such as independent t-tests and one-way ANOVA. Key findings reveal how weekly earnings are influenced by education degree, age, and work patterns. The study utilizes data from a sample of 40 employed individuals from the American Time Survey Results (2018, 2019). The report also examines the connection between working hours and leisure time, offering insights into work-life balance. The conclusion emphasizes the importance of further research on the earning and work schedules of family members compared to that of an individual’s work pattern.
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