Is it valid to use a likelihood ratio test to compare 2 nested linear models instead of anova? I'm trying to assess whether the quadratic model is a better fit to the data. I know anova seems to be the standard test for comparison but I was wondering whether I could use the likelihood ratio test?
model 1: Height~Age
model 2: Height~Age + I(Age^2)