Assess the use of various decision support tools and explain why outliers are sometimes called influential observations. Discuss what could happen to the slope of a regression of Y versus a single X when an outlier is included versus when it is not included.

Outliers and Time Series Analysis and Forecasting

Assess the use of various decision support tools and explain why outliers are sometimes called influential observations.

Discuss what could happen to the slope of a regression of Y versus a single X when an outlier is included versus when it is not included.

Will this necessarily happen when a point is an outlier?

You are required to give at least two examples in your response.

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