I thought it would involve a least-squares approximation. Could you be more clear on how to use the line of best fit to find my point X?
The points {P1,...,Pn} could be completely randomly placed.
The line of best fit uses least-squares. If your points are in a linear fashion, you can come up with a line, y=mx+b, where the magnitude is minimized. The line you achieve will be the line of best fit. Of course, we could do this for circles, quadratics, polynomials, etc.
The line of best fit uses least-squares. If your points are in a linear fashion, you can come up with a line, y=mx+b, where the magnitude is minimized. The line you achieve will be the line of best fit. Of course, we could do this for circles, quadratics, polynomials, etc.
Bah, this is way simpler than I thought it was. Just clicked that all I need is the average of the points.