[R] To simplify or not simplify?

[Georgina Southon]

Dear R help,

This is rather a basic question, but I can't seem to find an answer anywhere else.

When I run a model such as lm/aov(height~var1) where var 1 is a categorical variable with 6 levels, I get output that shows some significant parameters and other non significant. Normally I would then proceed to simplify the model by removing the insignificant terms, however, I have recently begun to wonder if that should be standard practice or whether the full model output (not reduced by simplification) has more integrity and should be retained?

Any thoughts would be most welcome!

Thanks,

Lizzie


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