I am looking for a good method to combine a set of curves into a single curve.
Those curves have been produced by performing a measurement/testing n-number of times under similar conditions. What I am trying to achieve is to get a single curve which represents statistically the most likely distribution of points if I perform the same test/measurement next time.
Would some type of regression achieve this goal?
Below you will find some example data for Q (flow) and H (head) for a pump rotating at 1245 rpm. So each measurement at constant rpm gives a curve for Q and H.
Q: 12,1557261 H: 8,1434835 Q: 24,3704478 H: 6,93492 Q: 40,9583469 H: 5,3908751 Q: 55,8666517 H: 3,4994621 Q: 63,8760173 H: 2,4220055