Hi all, I think this is probably a very simple question related to ANOVA or quantile regression.
Let's say if I'm doing ANOVA on 2 factors (f_a and f_b) and trying to figure out whether they have an impact on the output. The result shows me that f_a has a significant impact while f_b does not as following, where the std. error (confidence interval) is estimate std. error p-value f_a 10 0.2 0.001 f_b 0.5 2 0.56 If I take this result, and I want to make my best guess for the output of a pair of f_a and f_b values. Should I calculate the output using both f_a and f_b or only the f_a because f_b is statistically insignificant? And what the std. error (confidence interval) would be? Specifically, should I do guessed output = 10 * f_a + 0.5 * f_b and the std. error is 0.2 + 2 = 2.2 or guessed output = 10 * f_a and the std.err is 0.2 Thank you very much! Yunqi [[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.