  It is well known that individual parameters of strongly correlated predictor
variables in a linear model cannot be accurately estimated by the least squares
regression due to multicollinearity generated by such variables. Surprisingly,
an average of these parameters can be extremely accurately estimated. We find
this average and briefly discuss its applications in the least squares
regression.
