Before data is entered into the regression calculator, some data may be excluded. explain why the data pair (0, 100) was exclude
d for the comparison of hours slept the night before and the test score. describe what this data point represents. if it was included, would the trend line describe the data well?
sample response: Before entering data into the regression calculator, or in any method for producing trend lines, outliers should be excluded. The data indicates that a student had a score of 100 with no sleep the night before. This is surely a rare event and would skew the trend line so it would not describe the typical data relationship.
Outliers should be excluded when producing a trend line, regardless of the method used.
The student got a score of 100 with no sleep.
This data pair was a rare event.
If the outlier was included, it would cause the trend line to misrepresent the typical data relationship.
