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THERE ARE FOLLOW UP QUESTIONS 1. Would inclusion of the outlier change the evidence for or against a significant linear correlation at 5% significance? -YES.

THERE ARE FOLLOW UP QUESTIONS 1. Would inclusion of the outlier change the evidence for or against a significant linear correlation at 5% significance? -YES. Including outlier changes evidence-NO. Does not change evidence2. Would you always draw the same conclusion to the ab over question w any other outlier?-YES. Any outlier would result in the same conclusion-NO. A different outlier in a different problem could lead to a different conclusionEXPLAIN ANSWER TO THE SECOND MULTIPLE CHOICE QUESTION

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Question 1 The following bivariate data set contains an outlier. X y 21 96.9 24.4 78.7 16 65.7 26.9 43 30.3 47.9 34.3 55.7 40.2 44.1 30.7 45.1 14.4 92.5 34.1 34.3 23.1 66.1 33.1 41 48.9 8.8 27.1 36.4 152.4 361.2 What is the correlation coefficient with the outlier? [w = What is the correlation coefficient without the outlier? 25 NOV

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