The formula of one-dimensional linear regression equation in high school mathematics: b = (x1y1+x2y2+... xnym-nxy)/(x1+x2+... xn-nx). According to the Formula of One-variable Linear Regression Equation in Senior High School Mathematics published by Gaosan.com, the one-variable linear regression equation is one of the statistical analysis methods to determine the interdependent quantitative relationship between two or more variables by using regression analysis in mathematical statistics. Linear regression models often use least square approximation, but other methods may be used to fit, such as minimizing "fitting defects" in other specifications such as minimum absolute error regression, or minimizing the multiplication of least square loss function in regression. On the contrary, the least square approximation can be used to fit these nonlinear models. Therefore, although the least square method and linear model are closely related, they cannot be equated.