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 of cases to be analyzed. Each case is based on data with specific characteristics, and each analysis is characterized by specific objectives. These specifications require the use of different types of regression techniques to obtain the best results.
How do we distinguish between different types of regression techniques? Previously, we said that a first distinction ...
