Dear Avneet If you fit a multiple linear regression model your independent variables will not be orthogonal and therefore it is difficult to divide the r square on the different variables with a meaningful interpretation. In a balanced analysis of variance design the situation is somehow different. As result of the balanced design the explanatory variables are orthogonal and you can decompose the sum of squares on the different variables. But if you have covariables you must be careful. I wouldn't try to assign r square values for each Variable.
Regards, Christoph Buser -------------------------------------------------------------- Christoph Buser <[EMAIL PROTECTED]> Seminar fuer Statistik, LEO C11 ETH (Federal Inst. Technology) 8092 Zurich SWITZERLAND phone: x-41-1-632-5414 fax: 632-1228 http://stat.ethz.ch/~buser/ -------------------------------------------------------------- Singh, Avneet writes: > Hello > > Could you please suggest a way to find out the r square values for each > independent variable while using "lm" for developing a multiple linear > regression model. > > Thank you > avneet > > "I have no data yet. It is a capital mistake to theorize before one has > data. Insensibly one begins to twist facts to suit theories instead of > theories to suit facts." > ~ Sir Arthur Conan Doyle (1859-1930), Sherlock Holmes > > ______________________________________________ > R-help@stat.math.ethz.ch mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html ______________________________________________ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
