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Discuss what could happen to the slope of a regression

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Reference no: EM131357024

Outliers

For this discussion, you will assess the use of various support decision 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.

PLEASE USE THE REQUESTED REFERENCE

REFERENCE

Albright, S. C, & Winston, W. L. (2017). Business Analytics: Data Analysis and Decision Making (6th ed.). Boston, MA: Cengage Learning

Chapter 10: Regression Analysis: Estimating Relationships

Chapter 11: Regression Analysis: Statistical Inference

Chapter 12: Time Series Analysis and Forecasting

Verified Expert

The answer includes a brief description about outliers and influential points. In fact the definitions and differences are also given here. It also provides how the slope of the regression line changes because of the inclusion of influential points. Sometimes an influential point will cause the coefficient of determination to be bigger; sometimes smaller. Here two examples are also given justifying these lines.

Reference no: EM131357024

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