To determine whether there are any outliers in the data shown in the scatterplot, we can analyze the distribution of the plotted points.
The points are:
- (65, 205)
- (67, 216)
- (68, 210)
- (68, 218)
- (69, 224)
- (70, 220)
- (70, 224)
- (71, 230)
- (72, 235)
- (74, 200)
- (74, 240)
By examining the y-values for each given x-value, we find that:
- For x=65, the y-value is 205.
- For x=67, the y-value is 216.
- For x=68, the y-values are 210 and 218.
- For x=69, the y-value is 224.
- For x=70, the y-values are 220 and 224.
- For x=71, the y-value is 230.
- For x=72, the y-value is 235.
- For x=74, the y-values are 200 and 240.
The points at (74, 200) and (74, 240) behave differently compared to the other points, which have y-values generally increasing as x increases. Specifically, the point (74, 200) is much lower than the other points plotted at or near x=74.
The analysis suggests that both (74, 200) and (74, 240) are potential outliers, but particularly (74, 200) stands out significantly because it is not consistent with the trend of increasing values.
Therefore, the presence of outlier(s) suggests:
Yes, at (74, 200)
Yes, at left parenthesis 74 comma 200 right parenthesis