INTERNATIONAL JOURNAL OF ADVANCE RESEARCH
IN MULTIDISCIPLINARY

A popular statistical method in market research for figuring out how variables relate to one another and forecasting future results is regression analysis. By examining how independent variables affect a dependent variable, it assists organizations in making well-informed decisions. Regression analysis helps researchers find patterns, trends, and possible correlations in the data by quantifying these interactions. The paper's goal is to demonstrate how the linear multiple regression model can be used in marketing research with primary, quantitative data. The value-chain notion of relationship marketing serves as the theoretical foundation for the regression model that was built. In this way, the authors assume that the clients' expectations about the seven aspects of the company's offer determine the model's outcome variable, the monetary worth of a single purchase. There are two sections to the paper. The generic linear multiple regression model and its underlying assumptions are described in the first section, which also includes a brief literature review listing the primary multivariate data analysis techniques utilized in marketing research. A series of steps unique to the regression analysis are described in the second section.