To determine the type of association between the given x and y values from the table, we'll first observe the trends in the data.
Here are the x and y value pairs listed:
- (25, 375)
- (30, 225)
- (80, 120)
- (150, 75)
- (250, 50)
- (350, 100)
- (425, 175)
- (450, 275)
- (500, 400)
Plotting the points:
If we plot these points on a scatterplot, we can analyze how y behaves as x increases:
- From x = 25 to x = 150, y decreases from 375 to 75.
- From x = 150 to x = 250, y continues to decrease to 50.
- However, beyond x = 250, y increases back up to 400 at x = 500.
Association Analysis:
- Initial Trend: For lower values of x (up to around 250), there is a clearly decreasing trend. This suggests a potential negative linear relationship.
- Later Trend: After x = 250, the y values start to increase despite x increasing, indicating a break from the previous pattern.
Conclusion:
The overall trend displays an initial negative correlation followed by an increase, indicating that the relationship is not consistent.
Thus, the best description of the association observed is non-linear association, as the points do not form a straight line but rather indicate a curved trend.
Final Answer: non-linear association.