*This post is pending*

```
anova(mr_lm)
car::Anova(mr_lm, type = 2)
```

We can see from the \(P\) values that `hp`

and `wt`

are significant terms, whereas `drat`

is not.

But remember that \(P\) values are derived from \(F\) statistics, and the \(F\) values in this ANOVA table are interesting.
Note that the \(F\) value for `hp`

is an order of magnitude greater than that of `wt`

.
Does mean that it is an order of magnitude more important?

It definitely doesnâ€™t, and this example reveals an issue with the default behavior of `anova()`

when called on multiple regression models that is present but irrelevant with only a single term is included.
By default, `base::anova()`

performs what is called *Type \(I\)* ANOVA, which is sensitive to the order that terms are added.
Compare:

```
lm(mpg ~ hp + wt + drat, mtcars) %>% anova()
lm(mpg ~ drat + hp + wt, mtcars) %>% anova()
```