Linear Regression Model Properties

The following properties are available for the linear regression model:
Name
enables you to specify the name for this model.
Informative missingness
specifies whether the informative missingness algorithm is used. For more information, see Missing Values.
Use variable selection
specifies whether variable selection is performed. For more information, see Variable Selection.
Significance level
specifies the significance level that is required in order for variables to be considered for the model. This property is available only when Use variable selection is selected.
Assessment
  • Use default number of bins specifies whether you want to use the default number of bins or to set your own value. By default, measure variables are grouped into 20 bins.
  • Number specifies the number of bins to use when the Use default number of bins property is not selected. You must specify an integer value between 5 and 100.
  • Tolerance specifies the tolerance value that is used to determine the convergence of the iterative algorithm that estimates the percentiles. Specify a smaller value to increase the algorithmic precision.
Show diagnostic plots
specifies whether the Residual Plot, Assessment, and Influence Plot appear in the model pane.
Copyright © SAS Institute Inc. All Rights Reserved.
Last updated: January 8, 2019