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High-leverage points are those observations, if any, made at extreme or outlying values of the independent variables such that the lack of neighboring observations means that the fitted regression model will pass close to that particular observation. In short: An outlier is a data point whose response y does not follow the general trend of the rest of the data. A data point has high leverage if it has "extreme" predictor x values.