[R] R-squared value for linear regression passing through origin using lm()
etoffin at altern.org
Thu Oct 18 13:02:43 CEST 2007
A have small technical question about the calculation of R-squared
In a study case with experimental values, it seems more logical to
force the regression line to pass through origin with lm(y ~ x +0).
However, R-squared values are higher in this case than when I
compute the linear regression with lm(y ~ x).
It seems to be surprising to me: is this result normal ? Is there any
problem in the R-squared value calculated in this case ?
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