An important way to evaluate a statistical model is to calculate the total variability and see whether roughly two-thirds of the observed points are within plus or minus a standard error of the predicted values, and whether about 95% of the observations are within plus or minus two standard errors. Without a calculation such as this, all the standard errors and statistical tests based on this model would be in doubt.