To interpret the scatterplot and determine the type of association, we can look at the pattern formed by the plotted points.
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Positive association: If as the x-values (days) increase, the y-values (number of patrons) also tend to increase, we would describe this as a positive association.
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Negative association: If as the x-values increase, the y-values tend to decrease, we would describe this as a negative association.
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Linear vs. Non-linear: If the points form a straight line or a pattern that is close to a straight line, we would say there is a linear association. If the points form a curved pattern or do not form a straight line, we would say it is non-linear.
Examining the coordinates given, we can see that the number of patrons does fluctuate, but there are both increases and decreases in attendance over time. The trend does not appear to be consistently rising or falling, nor does it seem to fit a linear pattern.
Based on this information, the best response is:
The graph is non-linear.