To determine which point is the outlier in the scatterplot described, we should analyze the relationships between the height and weight of the plotted points.
You mentioned that there is a plot at (61, 95) and another at (60, 154), along with a cluster between (60, 115) and (64, 135). Based on this description:
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The point (61, 95) is significantly lower in weight compared to what would be expected based on the trend of the other points in the loosely packed cluster (which seem to have weights around 115 to 135 for similar heights).
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The point (60, 154) has a weight that is quite high compared to the other plotted points, but it is not mentioned as part of the options.
Considering the options provided:
- (60, 123)
- (63, 122)
- (61, 95) (this one appears to be the outlier as it falls well below the expected weight for that height)
- (64, 125)
The point (61, 95) stands out as being an outlier in the context of the cluster of other data points gathered around heights of 60 to 64.
Thus, the outlier is (61, 95).