Re: [R] Question about linear models

2008-11-18 Thread David Winsemius
Er, ... the log transform is more like using larger units (giving smaller numerical values.) On Nov 18, 2008, at 11:55 PM, David Winsemius wrote: You can always inflate the SS by using smaller units, which is what your log transformation is doing. What is important for inference is the

Re: [R] Question about linear models

2008-11-18 Thread David Winsemius
You can always inflate the SS by using smaller units, which is what your log transformation is doing. What is important for inference is the ratios of those sums of squares. The rest of your homework is something you will need to complete yourself. http://www.ugr.es/~falvarez/relaMetodos2.

[R] Question about linear models

2008-11-18 Thread Ricardo Ríos
Hi wizards, I have the following model: x<-c(20.79, 22.40, 23.15, 23.89, 24.02, 25.14, 28.49, 29.04, 29.88, 30.06) y <- c(194.5, 197.9, 199.4, 200.9, 201.4, 203.6, 209.5, 210.7, 211.9, 212.2) model1 <- lm( y ~ x ) anova(model1) Df Sum Sq Mean Sq F valuePr(>F) x 1 368.87 36