Stat 131a Lecture 16a Worksheet
If a model has an R2 of 0.99, is it a good model?
Inference →
Prediction →
The principle of parsimony →
What happens to R2 and the residual SE if you add a quadratic term? Why?
mpg | weight | weight2 |
30 | 1 | 12 |
20 | 2.8 | 2.82 |
10 | 5.5 | 5.52 |
... | ... | ... |
Outcome | Group |
2.9 | A |
3.1 | B |
3.4 | B |
4.2 | C |
3.5 | A |