The article discusses using a method called total least squares for linear regression to improve the accuracy of computation results. By applying this method, the researchers ensure that the regression parameters and fitting straight line are more reliable. They explain the total least squares criterion and how it helps in data processing for engineering applications. The study shows that using total least squares gives more consistent and unique results compared to traditional least squares method.