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As a data scientist, you're developing a linear regression model to forecast income using age among other variables. The dataset includes extreme outliers due to the inclusion of billionaires' incomes. To ensure the model accurately predicts income for the majority of the population, excluding billionaires, what is the most effective method for managing these outliers?