vvnat is me correation coemicient it me outier is exciuged, A. -0.97 B. -0.50 D. 0.97 b. How does the outlier affect the correlation coefficient? A. Including the outlier will change the sign of the correlation coefficient. B. Including the outlier will decrease the correlation coefficient. C. Including the outlier will increase the correlation coefficient. D. Including the outlier will have no affect on the correlation coefficient.

The correlation coefficient is a statistical measure that ranges from -1 to 1, representing the strength and direction of a relationship between two variables. A coefficient close to -1 indicates a strong negative correlation, whereas a coefficient close to 1 indicates a strong positive correlation. An outlier can significantly skew this value, as it tends to distort the perceived relationship. When an outlier is included in the data set, it can either inflate or deflate the correlation coefficient depending on its position relative to the other data points. If the outlier is far removed from the typical pattern, it can dramatically change the correlation and potentially make it misleading. So be cautious—outliers might just have a tendency to throw a party and turn the numbers in unexpected ways!