To identify the outlier in the scatterplot based on your description, we need to look for a point that deviates significantly from the general trend of the other data points.
From your description:
- The point at (0.5, 45) is below the cluster and shows a low test grade for only a half-hour of study, which is not aligned with the higher grades generally associated with more hours studied.
- The other points you mentioned (2.5, 87), (4.5, 97), and (1, 78) all fall within a cluster of points that are closer together and show higher test grades for the corresponding hours studied.
Given this information, the point (0.5, 45) stands out as the outlier since it is significantly lower than the other points in terms of both hours studied and test grade.
So, the outlier is (0.5, 45).