What is true of a data point with a large, positive residual? 1. It should always...
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What is true of a data point with a large, positive residual? 1. It should always be removed from further analysis. II. It should be explored as a possible outlier. II. It indicates that the regression model has provided an underestimate for the value. O A. Il only B. Il and III C. I only O D. II only What is true of a data point with a large, positive residual? 1. It should always be removed from further analysis. II. It should be explored as a possible outlier. II. It indicates that the regression model has provided an underestimate for the value. O A. Il only B. Il and III C. I only O D. II only
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