If it does, multicollinearity is a problem. The researcher looks at these cases to consider if they merit a separate model, or if they reflect measurement errors. Either way, the researcher may decide to drop these cases from analysis. Case Number Std. Since the minimum standardized residual is -3.05, at least one prediction is more than 3 standard deviations below the mean residual.
Studentized residuals are very similar to standardized residuals and follow the t distribution.
These are used in plots of standardized or studentized predicted values vs. observed values. The bottom three rows are measures of the influence of the minimum, maximum, and mean case on the model. Cases with leverage values less than .2 are not a problem, but cases with leverage values of .5 or higher may be unduly influential in the model and should be examined. Cook's distance measures how much the b coefficients change when a case is dropped. In this example, it does not appear there are problem cases since the maximum leverage is only .029.