Your regression may have a high r-square ... the standard deviation of the residuals for a simple linear equation. The standardized residual is then the ratio of the individual raw residual ...

Beside the model, the other input into a regression analysis is some relevant sample data ... we can use the prediction equation (based on a model using the known variables as its explanatory ...

The SUR method requires an initial OLS regression to compute residuals. The OLS residuals are used to estimate the cross-equation covariance matrix. The SUR option on the PROC SYSLIN statement ...

One key assumption is that the errors are independent of each other. However, with time series data, the ordinary regression residuals usually are correlated over time. It is not desirable to use ...