R coefficient is how you assess fit to model. P is for significance you might use it to assess which model is better (typically using an interaction term). Tha

R coefficient is how you assess fit to model. P is for significance you might use it to assess which model is better (typically using an interaction term). That 0.11 shows that the alternative model is not significantly better than the model presented. That might be confusing because typically everyone just thinks p<0.05 is good.