Graphically, you can use coplot() or lattice to see how the relationship between height and weight changes with age.
With a linear model, you can do something like: lm(height ~ weight * age, ...) and work out the interpretation of the coefficients. HTH, Andy > From: Peter Tait > > Hi, > > I want to look at the relationship between 2 > continuous/quantitative variables while adjusting for a third > continuous variable. For example: relationship between height > and weight adjusted for age. > As I understand it using a glm would work if I had a > categorical variable (I could make age into a categories) but > I am interested to know if anyone knows how I can do this > analysis with out making age into categories. > > Any help would be appreciated. > Cheers > Peter ______________________________________________ [EMAIL PROTECTED] mailing list https://www.stat.math.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
