Suppose I have a set of data ({xi,yi},like data from lab experiment) and I have errors associated with each xi and yi. If I do a best-fit line/curve, how do I get the reduced chi-squared value for that line/curve in Mathematica?

  • $\begingroup$ You've assumed a fair amount of statistical knowledge (although I'm a bit skeptical that one can do a "best-fit line/curve" procedure followed by a "reduced chi-squared value" - also called an overdispersion parameter - and have everything adjusted properly when there are errors in both variables). I think a reference to the procedure and an attempt at some Mathematica code is in order. Alternatively, you might want to ask this question at the CrossValidated site. $\endgroup$ – JimB Sep 16 '16 at 15:40

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