BSB123 Data Analysis Research Report - Semester 1, 2021

This report presents a data analysis of employee performance at FringeTech, an IT/electrical engineering company. The analysis includes an examination of test scores, gender, income, higher education, age, and GPA for 150 employees. Key findings include the identification of employees for training based on test scores, an ANOVA analysis revealing no significant impact of gender on test scores, and a comparison of test scores based on degree attainment. The report also explores the relationship between GPA, test results, and income, revealing a moderate positive correlation between GPA and test results, and a negative correlation between GPA and income. The analysis concludes with recommendations for training and salary allocation, suggesting that management provide training to employees without degrees and allocate salaries based on performance rather than gender. Regression analysis is employed to create predictive models for income based on test results and GPA.