I am trying to interpret the p-values for model selection. Here is a sample code taken from a book (An Intro. to stat. Learning, page 290, by Gareth James et al.)Null-hypothsis: Model M1 is sufficient to explain the data against the alternative hypothesis that a more complex model M2is required.With this statement, I think p-value should be high so that null-hypotheis can be rejected and a model M2 is selected. Keeping this in mind, I think we should select Model 5 as it is having highest p-value, but authors mention either of Model 3 or Model 4 is a good fit. I don't understand why Model 5 is not a good fit.
Model selection by Interpreting p-value of anova function
machine learning;r;statistics;regression