To determine whether the scatterplot represents a linear or non-linear association, we need to observe the pattern of the plotted points.
The points plotted are:
- (20, 450)
- (25, 425)
- (30, 400)
- (35, 375)
- (40, 350)
- (50, 325)
- (70, 275)
- (80, 250)
- (90, 200)
By examining the values, we can see that as the x-values increase, the y-values consistently decrease. The rate of decrease is not uniform; the points appear to form a downward trend but with varying distances between them, suggesting that the relationship is not constant.
A linear association would show a straight line trend, with equal spacing between the y-values for equal increments in x-values. Here, the decreases in y-values become less significant as the x increases, which indicates a non-linear trend.
Based on this analysis, the scatterplot represents a non-linear association.
Therefore, the answer is 2 for non-linear.