1. Define variables: In the regression model, it is necessary to clearly define independent variables and dependent variables, and determine appropriate variables by observing and analyzing problems to ensure the accuracy and interpretability of the model.

2. Fitting regression equation: Use appropriate regression methods (linear regression, polynomial regression, ridge regression) to fit the data and get the regression equation. In the process of fitting, the regression coefficient is determined by minimizing the difference between the predicted variables and the actual observed values, so as to get the best approximation relationship.