Regression and Correlation AnalysisTo understand regression and correlation analysis, a research is done. The research plans to investigate: Whether the number of years spent or invested in schooling will pay off in the future, i.e. in the job market. In case the relationship exists, what is the strength of the relationship? What is regression analysis and of correlation? Regression analysis is the process of identifying the relationship between one or more independent variables and a dependent variable. First it involves developing a relationship model and estimates of parameter values ​​are used to develop an estimated regression equation. On the other hand, correlation analysis involves testing the strength of the relationship between the variables, that is, it tests the interdependence between the variables. In our case, the regression analysis will involve testing the relationship between the number of years invested in schooling and the salary reward in the labor market. Correlation analysis will instead involve testing the nature or strength of the relationship between the number of years spent in school and the salary reward in the labor market. The participants involved in the research will be randomly selected. Both male and female participants will be selected for the research. This will help avoid biases in research that can lead to erroneous and incorrect result calculations. The age of these participants will vary depending on the highest level of education achieved by the participants. Participants involved in this research are aged 25 years or older. In this case, it will help to reflect the number of years spent or invented in school and their wages in the labor market. Six parts...... half of the article ......hosen.c) The independent variables Yi are linearly independent of each other.ConclusionIn conclusion, the number of years spent in school can be seen as directly proportional to each other. Therefore, the more years spent in school, the better the salary in the labor market. However, not all participants who have spent more years of school get the same reward in terms of wages in the labor market. The results can be used by employers to determine employee salaries at their locations. It can also be used by the government to determine the salaries of public employees. References: Archdeacon, T. J. (1994). Correlation and regression analysis: a historian's guide. Madison, Wis: University of Wisconsin Press.Ezekiel, M., & Fox, K. A. (1959). Correlation methods and regression analysis, linear and curvilinear. New York: Wiley.