To determine the type of association in a scatterplot, you would typically look at the pattern of the data points:
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Linear: The points form a pattern that resembles a straight line, indicating a consistent relationship between the two variables.
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Non-linear: The points show a curved or other non-linear pattern, indicating that the relationship between the two variables changes in a systematic way rather than being constant. This could be quadratic, exponential, or another type of non-linear relationship.
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No Association: The points are dispersed randomly without any discernible pattern, indicating that there is no relationship between the two variables.
Since I cannot see the image, you'll have to evaluate the pattern of the scatterplot based on these definitions. If you observe a straight-line pattern, choose "linear." If the pattern curves or twists, choose "non-linear." If the points are scattered with no clear pattern, choose "no association."