I have several linear models on the same data:

m1 <- lm(y ~ poly(x,1))
m2 <- lm(y ~ poly(x,2))
m3 <- lm(y ~ poly(x,3))

What I don't understand is why

anova(m1, m2, m3, test="F")

- yields the same RSS and SS values, but a different p-value from anova(m1,
m2, test="F")
- when it also yields the SAME as anova(m2, m3, test="F")

What am I missing?

Rob

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