Hallo all, I have a question concerning the weights used in the glm function.
I need to build a linear model (family=gaussian) with only one regressor. Sadly I have only 6 different sets: y_i=alpha+beta*x_i , i=1,2,3,4,5. i=1,2,3,4,5 has been observed 60 times, while i=6 has only been observed 30 times. This is why I wanted to use a weighted least squares approach instead of least squares. I used the weight w1<-c(1,1,1,1,1,0.5). Can anybody tell me if this is correct? THX. Machen Sie aus 14 Cent spielend bis zu 100 Euro! Die neue Gaming-Area von Arcor - über 50 Onlinespiele im Angebot. http://www.arcor.de/rd/emf-gaming-1 ______________________________________________ [email protected] mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
