Hello, I am working with a dataset with three variables and one binomial parameter. The glm function provides coefficients for these three variables, e.g. -1.5 | 27.2 | -2.9
If I'm not mistaken, $fitted.values gives me an estimate of how likely my parameter is to be true/1 . I would like to apply these coefficients on other variables to predict the binomial parameter but I'm not sure how to make use of them. To clarify a bit more I'm looking for a formula to calculate the chance that the parameter is true/1, based on the three variables/coefficients, something like -1.5*V1+27.2*V2-2.9*V2 I hope someone understands my awkwardly worded question and is able to help me out - thanks! -- View this message in context: http://r.789695.n4.nabble.com/Applying-glm-coefficients-Beginner-Question-tp4643737.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ 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.