Math, Stats, Julia, Predictions, Linear Regression.
variance can be thought of as a measure of the “goodness of fit” of the model. A smaller residual variance indicates that the model is a better fit to the data, while a larger residual variance indicates that the model is a poorer fit. How does residual variance affect the linear model? using