Studentized residuals are used to identify outliers in regression analysis. Values that are more extreme than -2 or 2 suggest that the corresponding observations may be outliers. Therefore, residuals that fall outside this range (i.e., less than -2 or greater than 2) are typically considered indicative of potential outliers.
B is correct
Technically, you are right. I am also confused with the sas contents presenting that
In general, studentized residuals that have an absolute value less than 2.0 could have easily occurred by chance.
that`s why answer might be C.
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