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Characteristics of regression analysis
Characteristics of regression analysis













Multiple regression analysis has many applications, from business to marketing to statistics. You can represent multiple regression analysis using the formula: Regression analysis is a series of statistical modeling processes that helps analysts estimate relationships between one, or multiple, independent variables and a dependent variable.

characteristics of regression analysis

In this article, we offer a multiple regression analysis definition, list the formula for calculating multiple regression and explain how to calculate multiple regression with an example to provide more insight into this type of statistical analysis. Multiple regression analysis is a method that analysts and statisticians use to understand and create conclusions about multiple regression. In multiple regression, the number of independent variables increases, creating changes within dependent factors, too. In statistics, linear regression is a measurement process for understanding how an independent variable affects a dependent variable.















Characteristics of regression analysis