- #1

Jules Winnfield

- 16

- 0

I have a model which is quadratic (e.g. ##y = k x^2##). I'm comparing it against a large set of data (galaxy cluster masses) which spans several Log10 decades (e.g. ##10^{11}## to ##10^{15}## solar masses). What is the right way to say how good the data fits the model? Obviously the errors in the heavier galaxy clusters are going to count for more than the errors in the lighter clusters if I compare on a linear scale.

Is it valid to convert the errors and values using a Log10 operation and perform a chi-square or r-square on those values?

Is it valid to convert the errors and values using a Log10 operation and perform a chi-square or r-square on those values?

Last edited: