an observation's standardized residual provides an index of how unusual that observation is relative to the regression model of the data. in essence, the standardized residual is a measure of each point's distance from the best-fitting regression line (displayed in green in this graph). move the mouse over each data point to reveal its standardized residual. examine the standardized residuals of points close to and far from the line to confirm that the standardized residuals are indeed larger for points far from the line. if all observations fit the model well, then omitting one observation should not change the analysis very much. moving the mouse over the data point not only reveals its standardized residual but also shows the regression line with that data point omitted. how does ommitting certain data points effect the regression analysis?