I've got a set of data measuring a supremacy of team A over Team B in one column and then the percentage of draws produced so far for each rating in another rating.
I put this into a scatter graph to produce a trendline and equation, however not unexpectedly the plotted data is u-shaped and the trendline was nearly flat.
The figures produced by the trendline didn't produce a realistic draw price. However if I produce two graphs one for Positive supremacy and one for negative supremacy, the trendline and equations for each of them make sense and the draw prices produced probably have some merit.
Are there any obvious flaws in splitting the data thus?
What I normally do with this sort of thing is just make all the supremacies positive i.e. =SQRT(A1*A1)
Can't see any obvious flaws unless you believe there is a fundamental difference between say a 0.5 goal home fav and a 0.5 goal away fav.
What I normally do with this sort of thing is just make all the supremacies positive i.e. =SQRT(A1*A1)Can't see any obvious flaws unless you believe there is a fundamental difference between say a 0.5 goal home fav and a 0.5 goal away fav.
Set the trendline to polynomial 2 (or bigger), beware of going too high as it seems to not display enough significant figures to copy the formula and have it still work
Set the trendline to polynomial 2 (or bigger), beware of going too high as it seems to not display enough significant figures to copy the formula and have it still work
Don't set the polynomial settings higer than the data requires just to get it to fit. The polynomial should only have the same number of inflexion points as the data you're fitting.
Don't set the polynomial settings higer than the data requires just to get it to fit.The polynomial should only have the same number of inflexion points as the data you're fitting.