Date of Publication :17th February 2024

Abstract: This paper discusses how to enhance the business using the statistical terms “Correlation Analysis” and a machine learning algorithm “Linear Regression”. In many research projects, correlation and regression analysis are the most often utilized statistical tools. The purpose of correlation analysis is essentially the same in quantitative analytical investigations, making it advantageous to look into the link between independent and dependent variables. In order to show how to use a widely common statistical tool called correlation and regression analysis for beginning researchers, this study used secondary data. Regression analysis comes after correlation. It begins with the idea of a simple correlation coefficient, which indicates how linearly related two variables are to one another. A scatter plot should be created to check for a linear relationship between the two variables. If explanatory variables change by one unit, regression analysis technique exposes the relevance of variables and the degree of change in exogenous variables. The results of this study have ramifications for how to analyze data and how to do correlation and regression analyses.

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