As mentioned before, regression analysis is a statistical process for studying the relationship between a set of independent variables (explanatory variables) and the dependent variable (response variable). Through this technique, it will be possible to understand how the value of the response variable changes when the explanatory variable is varied.
The power of regression techniques is due to the quality of their algorithms, which have been improved and updated over the years. These are divided into several main types, depending on the nature of the dependent and independent variables used or the shape of the regression line.
The reason for such a wide range of regression techniques is the variety ...