What do you mean, return?

Regression generally refers to "returning" or "restoring" a certain state. The concept of regression exists in all fields. In data analysis, regression is a statistical method used to predict the change of dependent variables, which can be interpreted as being related to the change of one or more independent variables. In addition, in politics and history, retrogression sometimes means that a country or region rejoins or restores the whole country to which it previously belonged.

Regression is widely used in data analysis. In many practical applications, it is necessary to predict the value of a specific variable, even a variable that cannot be directly measured. In this case, the regression model can solve this problem by combining various factors and carrying out predictive modeling. In addition, the regression method can also measure the statistical influence of their respective variables on dependent variables and quantitatively describe the relationship between them.

Although regression method is widely used in data prediction and modeling, it also has limitations. First, it assumes that the data is linearly separable, but for nonlinear relationships, the accuracy of regression will be affected. Secondly, the regression model may be disturbed by too much noise or inaccurate data, which may lead to errors in the prediction results. In addition, regression also requires that there is no multiple linearity between independent variables, which will make the regression result meaningless.