The article presents a method to improve polynomial regression analysis by efficiently selecting variables using the coefficient of determination (COD). This helps in eliminating irrelevant attributes, reducing data maintenance costs, execution time, and improving prediction accuracy. The main goal is to find the best independent variables for the analysis, which in turn enhances the model's ability to explain and predict outcomes. By using COD, unnecessary variables can be removed, making data sets smaller and easier to manage.