Dfbetas In Regression. May not be independent. I DFBETAS which indicates how much the regression coefficient changes if the ith observation were deleted.
These re-normalize the residuals to have unit variance using an overall and leave-one-out measure of the error variance respectively. May not be independent. Functions rstandard and rstudent give the standardized and Studentized residuals respectively.
Model for the errors may be incorrect.
A DFBETA value in excess of 2sqrt n merits further investigation. Because the inclusion of an observation could either contribute to an increase or decrease in a regression coefficient DFBETAs can be either positive or negative. This video covers identification of influential cases following multiple regression. People also like to re-scale these to get what is called DFBETAS which you.
