Understanding chi square for weighted data
Fri, 05/13/2022 - 06:05 am
I have a question regarding chi square, which is given after a fit.
I read here, in the forum, that a good fit is indicated by a chi square value that is not too far from the number of data points, in weighted data. In fact, for a good fit, chi square should be about the number of data points.
This is my question. What if after the fit the value of chi-square is smaller than the number of data points in a fit where the data are weighted? I have this situation where the fit looks good/perfect, and the value of chi-square is about 11 while the number of data point is 63. How to interpret this?
Attached is a picture of the fit