  It has been shown that for a given set of points in a plane, the
least-squares regression line pivots about a fixed point when any single point
in the set is repeated. We consider what happens when more than one point is
repeated. Geometrically, we describe the regions where pivot points may lie
under all possible combinations of repetitions. The underlying framework of
this pivoting is explored, yielding new open-ended questions.
