In a linear regression plot, the straight line represents the best attempt to minimize the residual sum of squares between known or observed data points and the predicted data points.

Residual plots can be used to validate assumptions about the regression model. Figure 1: Residual plots are helpful in assessments of nonlinear trends and heteroscedasticity. A formal test of lack ...

Inference in simple and multiple linear regression, residual analysis, transformations, polynomial regression, model building with real data, nonlinear regression. One-way and two-way analysis of ...

The residual sum of squares (RSS) is a statistical technique used to measure the variance in a data set that is not explained by the regression model.