It's a bit dangerous to call them "betas" in this list. Standardized
regression coefficients sounds much better :)
A simple way is to first standardize your variables and then run lm again.
lm(scale(height)~scale(age) + factor(sex))
# or, depending on what you want:
lm(height~scale(age)+factor(
Hello everybody,
Can anyone tell me, how to obtain standardized regression coefficients
(betas) for
my independent variables when doing a multiple linear regression?
height<-c(180,160,150,170,190,172)
sex<-c(1,2,2,1,1,2)
age<-c(40,20,30,40,20,25)
fit<-lm(height~age+sex)
summary(fit)
I already h
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