To determine which scatterplot shows a non-linear association from the provided data, we can analyze each pair of x and y values qualitatively.
A.
- Data:
- x: 50, 46, 90, 59, 78, 64, 68, 53, 70, 72
- y: 75, 71, 100, 80, 90, 82, 85, 77, 87, 89
- Analysis: The points appear to exhibit a more linear trend, as y values seem to increase with x values.
B.
- Data:
- x: 50, 46, 98, 59, 78, 64, 68, 53, 70, 72
- y: 75, 71, 90, 55, 70, 100, 90, 25, 40, 76
- Analysis: The points vary significantly without a clear trend, and some y values seem to drop drastically, suggesting a non-linear association.
C.
- Data:
- x: 50, 46, 80, 59, 78, 64, 68, 53, 70, 68
- y: 90, 100, 57, 80, 60, 75, 72, 82, 70, 67
- Analysis: The points show some fluctuation but still somewhat follow a trend, indicating possible linear association.
D.
- Data:
- x: 50, 46, 80, 59, 78, 64, 68, 53, 70, 68
- y: 35, 30, 75, 45, 70, 50, 55, 36, 62, 67
- Analysis: The values of y drop significantly for lower values of x, and then there are some increases in y that do not correlate well with the increasing x values, indicating a non-linear association.
Conclusion:
Scatterplot B and D both demonstrate a non-linear association, but B displays extreme variance without a consistent pattern, making it the most evident choice for non-linearity. Thus, the answer is:
B shows a non-linear association.