Math, Stats, Julia, Predictions, Linear Regression.
Then, for each data point, you can subtract the predicted value from the observed value to get the residual, and square this value to get the squared residual. Finally, you can sum all of the squared residuals and divide by (n — p — 1) to get the residual variance. It is also possible to calculate