- #1

Whiteblooded

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__So rather than comparing values, I'm comparing shapes.__One model fits fairly well, however I'm unsure of which quantity is correct to specify a 'goodness' of a model.

I'm thinking of some sort of sum of squared deviations (the quantity which least-squared fits minimises). The main problem with this is that the sum of squared deviations on its own will not really tell us about how good the fit is - I think I'll need to divide it by something else?..