In multiple regression an outlier is one that
A) is reasonably close to the regression surface.
B) is far from the regression surface.
C) is extreme on at least one variable.
D) will necessarily influence the final result in an important way.

Question

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An outlier in multiple regression is defined as an observation that is far from the regression surface, meaning it deviates significantly from the overall pattern of the data. Outliers can have a large impact on the regression coefficients and can result in misleading results.

In Multiple Regression an Outlier Is One That