Question: It is important to remove outliers in the high-low method because we only use two observations. Removing extreme observations that might not skew results is

"It is important to remove outliers in the high-low method because we only use two observations. Removing extreme observations that might not skew results is not as important when using regressions because an outlier is only one of many observations." True or False? Explain.

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