Basic Analysis • Bivariate Analysis • Robust • Fit Robust
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Fit Robust
The Fit Robust option reduces the influence of outliers in the response variable. The Huber M-estimation method is used. Huber M-estimation finds parameter estimates that minimize the Huber loss function, which penalizes outliers. The Huber loss function increases as a quadratic for small errors and linearly for large errors. For more details about robust fitting, see Huber (1973) and Huber and Ronchetti (2009).
Related Information 
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Fitting Menus
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Example Using the Fit Robust Command

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Help created on 9/19/2017