I understand adjusted r-squared and AIC can be used to select an ideal model from a group. Higher AIC is worse but higher ar2 is better.
After adding a categorical variable to an OLS model, my adjusted r-squared went up and so did my AIC. Some of the categorical values are associated with a high p-value.
Three questions:
- How can I interpret the discrepancy?
- I tend to favor including the variable because of the ar2 effect. Is this a fair justification?
- Is either metric generally preferred among AR2 and AIC?