Which of the followings cannot be said about Generalized Additive Models (GAMs)?

1. With GAMs, we can automatically model non-linear relationships that standard linear regression will miss.

2. GAMs can not be used for inference analysis

3. With GAMs, we do not need to manually try out many different transformations on each variable individually

4. GAMs are considered additive models. Therefore, one can examine the effect of each Xj on Y individually while holding all of the other variables fixed.