Embarrassing but that's true. I wrote 'binamial' instead of 'binomial'. I tried now with the correct spelling and everything is ok, in fact.
> summary(GLM) Call: glm(formula = model, family = binomial(link = logit)) Coefficients: Estimate Std. Error z value Pr(>|z|) (Intercept) -18.5750 10.7646 -1.726 0.0844 . x 5.0403 2.7757 1.816 0.0694 . I(x^2) -0.2845 0.1558 -1.826 0.0679 . Thank you all. Anderson Eduardo 2016-09-01 5:14 GMT-03:00 peter dalgaard <pda...@gmail.com>: > >> And use the parameters returned by GLM to contruct an equation for the > >> regression model: > >> > >> model.eq = -0.446078 + 0.267673*x - 0.014577*I(x^2) > > > > ## Not what I got with your data. I got: > > > > Coefficients: > > (Intercept) x I(x^2) > > -18.5750 5.0403 -0.2845 > > > > > > I suspect you had some other x,y variables lying around when you > > defined your model. > > > More likely, the family= specification got lost and gaussian family > implied: > > > glm(model) > > Call: glm(formula = model) > > Coefficients: > (Intercept) x I(x^2) > -0.44608 0.26767 -0.01458 > > -- > Peter Dalgaard, Professor, > Center for Statistics, Copenhagen Business School > Solbjerg Plads 3, 2000 Frederiksberg, Denmark > Phone: (+45)38153501 > Office: A 4.23 > Email: pd....@cbs.dk Priv: pda...@gmail.com > > > > > > > > > > -- Anderson A. Eduardo ------------------------------------------------------------------------------ Lattes <http://lattes.cnpq.br/3826166230581311> | Researcher ID <http://orcid.org/0000-0001-8045-8043> | Google Acadêmico <https://scholar.google.com.br/citations?user=oOUjq9IAAAAJ&hl=pt-BR> | Site <http://andersonaireseduardo.xpg.uol.com.br/> ------------------------------------------------------------------------------ [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see 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.