To interpret the scatterplot and determine the type of association, you would typically look for the following characteristics:
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Linear Association: If the points seem to form a straight line (either increasing or decreasing), then there is a linear association.
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Non-linear Association: If the points follow a curved pattern rather than a straight line, then there is a non-linear association.
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No Association: If the points are scattered randomly without showing any clear pattern (not forming a line or curve), then there is no association.
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Negative Association: This is a specific type of linear association where as one variable increases, the other variable decreases. If the points trend downward from left to right, it indicates a negative association.
Based on this information, you would choose the appropriate response based on the appearance of the scatterplot you are interpreting. If you have a specific scatterplot in mind, please describe it for a more tailored interpretation.