How to detect influential points in multiple regression?

Question

I have a multiple linear regression model with two exposures and four covariates.

Can anyone please clarify my understanding on how to detect influential points?

1. Run a multiple regression model and use partial regression plots of each of the variables?

2. Look at the scatterplots of each covariate vs outcome?

Answer 1

In R, there are plots to find the influential points. For example, residual vs leverage plot.

Example: plot(lm(mpg~wt+hp,mtcars))

Details about the plot can be found in

Interpreting plot.lm()