The Prediction Sum of Squares as a General Measure for Regression Diagnostics
预测平方和作为回归诊断的一般指标
Statistics that usually accompany the regression model do not provide insight into the quality of the data or the potential influence of the individual observations on the estimates. In this study, the Q2 statistic is used as a criterion for detecting influential observations or outliers. The statistic is derived from the jackknifed residuals, the squared sum of which is generally known as the prediction sum of squares or PRESS. This article compares R 2 with Q2 and suggests…