Hi, This may be a stupid question, but how are the "std. error" values returned by lm() calculated? For example
> summary(lm) Call: lm(formula = log10(moments[2, 1:10]) ~ log10(L_vals[1:10])) Residuals: Min 1Q Median 3Q Max -0.0052534 -0.0019473 0.0006785 0.0011740 0.0059541 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) -0.520639 0.002488 -209.2 3.05e-16 *** log10(L_vals[1:10]) 0.112666 0.003446 32.7 8.35e-10 *** I can't find any documentation on this. Regards, Nicky Chorley [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.