How should I understand the
anova result when comparing two models?
Res.Df RSS Df Sum of Sq F Pr(>F) 1 9 54.032 2 7 4.632 2 49.4 37.329 0.0001844 ***
The manpage states: "Compute analysis of variance (or deviance) tables for one or more fitted model objects." However, out professor mentioned that it may be employed for model comparison - that's what I intend to do.
Hence I assume I could use
anova(model1, model2) and obtain a p-value which tells me whether I should reject the null hypothesis: "the models are the same".
May I state that if the p-value is less then (let's say) 0.05, the models differ significantly?