How the Residual Sum of Squares (RSS) Works.
The Residual Sum of Squares (RSS) is a measure of how well a model fits a dataset. It is the sum of the squares of the difference between the predicted values and the actual values. The lower the RSS, the better the fit. The RSS is used to determine the goodness of fit of a … Read more