If you suspect that your data contains outliers, select the Robust option on the launch window to reduce the sensitivity of tests for continuous responses to outliers. With this option, Huber M-estimates (Huber and Ronchetti 2009) are used in fitting regression and ANOVA models. Huber M-estimates are fairly close to least squares estimates when there are no outliers, but use outlier-downweighting when there are outliers.
The following columns are added to the PValues data table when the Robust option is selected in the launch window. The Robust option applies only when Y is continuous, so Robust column cells are empty when Y is categorical. See Fit Robust in the Basic Analysis book for additional details about Huber M-estimation. For an example, see Example of Robust Fit.
The p-value for the significance test corresponding to the pair of Y and X variables using a robust.
The quantity -log10(Robust PValue).
The quantity -log10(Robust FDR PValue).