To identify the outlier in the given data points, we should look for a point that is significantly different from the others in the scatterplot.
Based on your description:
- The point (61, 95) has a relatively lower weight compared to the other heights, especially considering that there is a cluster of points showing weights ranging from 115 to 135 for heights around 60 to 64 inches.
- The point (60, 154) also appears to be higher than the majority of the points.
Since we have those details:
- Point A (63,122) is relatively aligned with the general trend.
- Point B (64,125) follows the trend as well.
- Point C (61,95) stands out with a much lower weight compared to the other points around the same height.
- Point D (60,123) fits within the range of the cluster and does not appear as an outlier.
Based on this analysis, the outlier is C. (61, 95).