As an expert in statistical analysis, I can explain that R-squared is a statistical measure that represents the proportion of the variance for a dependent variable that's explained by an independent variable or variables in a regression model. It's often denoted as \[ R^2 \] and is a number between 0 and 1. A value of 1 implies that the regression model perfectly explains the variability of the data, while a value of 0 suggests that the model does not explain any variability. Now, let's translate that into Chinese. read more >>

R-squared is a statistical measure of how close the data are to the fitted regression line. It is also known as the coefficient of determination, or the coefficient of multiple determination for multiple regression. ... 100% indicates that the model explains all the variability of the response data around its mean.May 30, 2013read more >>