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From: <br...@ph...> - 2006-09-18 19:34:59
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SB wrote: > After half a day on the web I learned a little about statistics, bu= t I > couldn't find out how to interpret the correlation matrix. Also I a= m > still without ideas how to transform it to receive R=B2.=20 Well, to cut a long story short: R^2 is the square of the off-diagona= l=20 element of the correlation matrix --- *iff* the fit is a simple linea= r=20 regression: y =3D a*x + b > For some reason the bottom left value (in this case -0.684) seems t= o > depend only on the number of points that are fitted.=20 Then I must assume you didn't try sufficiently diverse data sets. The correlation should only depend on the number of data points if yo= u=20 varied the data set size by restricting the x or y range of a linearl= y=20 ordered data set. |