- (A): False. Linear regression exhibits high sensitivity to outliers, which can significantly skew results. - (B): False. Outliers can exist within the test set, and their impact is contingent on their handling during modeling. - (C): False. Outliers are data points substantially dissimilar from others, not in close proximity. - (D): True. Outlier treatment is determined by the problem's context and its relevance to the business objective.