How can I improve the SEE of a regression model?

Several techniques can improve the SEE. These include: 1) Adding more data points, 2) Transforming the dependent variable (e.g., using a log transformation to address non-linearity), 3) Removing or correcting outliers, 4) Addressing multicollinearity (e.g., by removing or combining variables), 5) Considering more complex models (e.g., polynomial regression or non-linear models), and 6) Improving the quality of data collection.