Setting the Options for the Final Model

You can choose to include the default statistics in the results or choose to include additional statistics, such as the standardized regression coefficients. A standardized regression coefficient is computed by dividing a parameter estimate by the ratio of the sample standard deviation of the dependent variable to the sample standard deviation of the regressor.

requests a detailed analysis of collinearity among the regressors. This includes eigenvalues, condition indices, and decomposition of the variances of the estimates with respect to each eigenvalue.

produces tolerance values for the estimates. Tolerance for a variable is defined as , where R square is obtained from the regression of the variable on all other regressors in the model.

produces variance inflation factors with the parameter estimates. Variance inflation is the reciprocal of tolerance.

You must specify whether to include the default diagnostic plots in the results. You can also specify whether to include plots of the residuals for each explanatory variable.

plots studentized residuals by predicted values. If you select the Label extreme points option, observations with studentized residuals that lie outside the band between the reference lines are deemed outliers.

plots the DFFITS statistic by observation number. If you select the Label extreme points option, observations with a DFFITS statistic greater in magnitude than are deemed influential. The number of observations used is n, and the number of regressors is p.

produces panels of DFBETAS by observation number for the regressors in the model. You can view these plots as a panel or as individual plots. If you select the Label extreme points option, observations with a DFBETAS statistic greater in magnitude than are deemed influential for that regressor. The number of observations used is n.

identifies the extreme values on each different type of plot.

produces a scatter plot of the observed values versus the predicted values.

produces partial regression plots for each regressor. If you display these plots in a panel, there is a maximum of six regressors per panel.

specifies the maximum number of points to include in each plot.