If you look at your SAS /r output, starting at the left:
'Dependent Variable' is the raw dependent variable data (Y).
'Predicted Value' is the predicted value using the fitted line (Y^).
'Std Error Mean Predict' is the Standard error used for confidence Intervals.
'Residual' is the difference between the first two above (Y-Y^).
'Std Error Residual' is the standard deviation of the 'Residual' statistic. Used like other standard errors.
'Student Residual' is the standardized residual. Calculated as 'Residual' / 'Std Error Residual'. Consider these as Z scores. This may help you with your question(?).
'-2 -1 0 1 2' is a graph of 'Student Residual'.
'Cook's D' is a measure of influence. This estimates an observation's influence by adjusting residuals when omitting that observation from the model.
Hope that helps.