It is used to forecast the value of the dependent variable based on one or more independent variables' values. When fitting a linear regression model to a set of data, the data range should be carefully scrutinised.
Regression analysis is a proven way for determining which variables have an impact on a certain issue. Regression analysis allows you to confidently establish which elements are most important, which factors may be ignored, and how these factors interact.
Linear regression models have proven to be a reliable and scientific means of forecasting the future. Because linear regression is a well-known statistical process, its properties are well understood and linear regression models may be trained quickly.