The following bivariate data set contains an outlier. X y 26.7 10.5 30.3 53.4 38.1 65 What is the correlation coefficient with the outlier? Tw wo 29.6 142.5 37.2 91.1 33.6 18 38.6 89.5 25.1 64.3 -8.8 101.9 8.2 152.9 14.7 23.1 22.4 -3.5 9.8 104.1 22.4 25.6 180.8 622.1 What is the correlation coefficient without the outlier? E For the next questions, I want you to consider that there is more than the existence or non-existence of correlation. You can have: Strong positive correlation Moderate positive correlation No correlation . Moderate negative correlation . Strong negative correlation Would inclusion of the outlier change the evidence regarding a linear correlation? O Yes. Including the outlier changes the evidence regarding a linear correlation. No. Including the outlier does not change the evidence regarding a linear correlation. For the next questions, I want you to consider that there is more than the existence or non-existence of correlation. You can have: Strong positive correlation . Moderate positive correlation No correlation. Moderate negative correlation Strong negative correlation Would inclusion of the outlier change the evidence regarding a linear correlation? Yes. Including the outlier changes the evidence regarding a linear correlation. O No. Including the outlier does not change the evidence regarding a linear correlation. Would you always draw the same conclusion to the above question with the addition of any outlier? O Yes, any outlier would result in the same conclusion. No, a different outlier in a different problem could lead to a different conclusion. Explain your answer to the second multiple-choice question. Edit Insert Formats - M BIUX, X A AT E - E- C &