This presentation explores the quantitative techniques used in business for managerial decision making. It focuses on the impact of various independent variables on income level through graphical representation, correlation analysis, and regression analysis. The analysis is based on thirteen observations. The conclusion highlights that income level is influenced by factors such as education, experience, and previous jobs, but also considers other factors like skills and abilities. Recommendations include prioritizing educational achievements and practical learning to enhance earnings.