Fig. 5From: Prediction of gap balancing based on 2-D radiography in total knee arthroplasty for knee osteoarthritis patientsUnivariate regression and multivariate regression. AĀ The linear relationships between the predictors and Joint Gap. Residual and fitting values (B, upper left). Data points between residual and fitting values were evenly distributed on both sides of yā=ā0, showing a random distribution, and the red line presented a smooth curve. Residual Q-Q chart (B, upper right), data points were distributed diagonally in a straight line, conforming to normal distribution. Normalized residual square root and fitting value (B, bottom left), data points were evenly distributed on both sides of yā=ā0, showing a random distribution. Standardized residuals and leverage values (B, bottom right), with no outliers that affected the regression modelBack to article page