To determine if there are any outliers in the data shown in the scatterplot, we look for points that significantly deviate from the general pattern of the other points.
The approximate plotted points are:
- (65, 205)
- (67, 216)
- (68, 210)
- (68, 218)
- (69, 224)
- (70, 220)
- (70, 224)
- (71, 230)
- (72, 235)
- (74, 200)
- (74, 240)
Analyzing the points:
- Most points cluster around x values from about 67 to 72, with y values gradually increasing.
- The point (74, 200) is low in comparison to the points around (70 to 74) which are primarily above 210.
- The point (74, 240) is high in comparison to the surrounding points.
Among these, (74, 240) and (74, 200) are both outliers because they deviate from the trend of increasing y values with x values.
Thus, the correct response regarding the outlier is:
Yes, at (74, 240) and Yes, at (74, 200).
However, since you are asking for a single option, the clear outlier that stands out the most amongst that specific value range is:
Yes, at (74, 240).