To determine the type of association from the provided x and y values, we can analyze the data:
Here are the (x, y) points based on the table:
- (25, 375)
- (30, 225)
- (80, 120)
- (150, 75)
- (250, 50)
- (350, 100)
- (425, 175)
- (450, 275)
- (500, 400)
Now, let's plot these points on a scatterplot:
- The x-values range from 25 to 500.
- The y-values start high and seem to decrease, then increase again.
Analysis of the Association:
- Initial Decrease: The y-values decrease as the x-values increase from (25, 375) to (250, 50).
- Subsequent Increase: After that, the y-values rise significantly from (250, 50) to (500, 400).
From this pattern, we see that the relationship does not follow a straight line. Rather, the association can be described as:
- It initially decreases (negative association) but then increases, indicating a non-linear relationship.
Conclusion:
Based on the behavior of the scatterplot and the data points, the type of association is best described as a non-linear association. Therefore, the correct response is:
non-linear association.