Hello. I'm am trying to follow a recommendation to deal with a dependent variable in a linear regression.
I read that, due to the positive trend in my dependent variable residual vs mean function, I should 1) run a linear regression to estimate the standard deviations from this trend, and 2) run a second linear regression and use 1 / variance as weight. These might be terribly stupid questions, but: a) Where do I find the standard deviations from this trend in the lm output? Except for coefficients I only see residual std error, DF, R^2, F and p values. b) Why exactly does one adjust a linear regression by a 1/variance weight, and in what cases? Thanks T [[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.