Re: [R] why my R^2 is so small while there do seem to be a dependency there?

The model given, ~0 +factor, omitted an intercept. R^2 is meaningless without an intercept. Further discussion should go to a statistics list like stats.stackexchange.com, as these are statistics, not R, issues. Cheers, Bert On Sun, Aug 4, 2013 at 1:41 PM, Rui Barradas wrote: > Hello, > > Hoe d

Re: [R] why my R^2 is so small while there do seem to be a dependency there?

Hello, Hoe did you get 0.002? Can you ?dput your data? d <- read.table(text = " factor observation -0.003 -2 -0.002 -2 -0.001 -1 0.000 1 0.001 0 0.002 1 0.003 2 ", header = TRUE) fit <- lm(observation ~ 0 + factor, data = d) summary(fit) # R2

[R] why my R^2 is so small while there do seem to be a dependency there?

Hi gurus! What I need to do is to find a model, which can predict what the * observation* should look like given a *factor* input. i am doing a simple linear fit in R: lm(observation~0+factor, data=d), the R^2 is 0.002, which is really small. however, when I do a 'SELECT AVG observation by 0.00