lm(y~x+0) yields the regression on x without the constant, i.e., y=bx+e, 
not y = a +e





derek <jan.kacaba@gmail.com> 
Sent by: r-help-bounces@r-project.org
03/16/2011 03:49 PM

To
r-help@r-project.org
cc

Subject
[R] Strange R squared, possible error






k=lm(y~x)
summary(k)
returns R^2=0.9994

lm(y~x) is supposed to find coef. a anb b in y=a*x+b

l=lm(y~x+0)
summary(l)
returns R^2=0.9998
lm(y~x+0) is supposed to find coef. a in y=a*x+b while setting b=0

The question is why do I get better R^2, when it should be otherwise?

Im sorry to use the word "MS exel" here, but I verified it in exel and it
gives: 
R^2=0.9994 when y=a*x+b is used
R^2=0.99938 when y=a*x+0 is used

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