To accurately interpret the scatterplot and determine the type of association, I would need to analyze the visual representation of the data points. However, I can provide you with guidance on how to determine the type of association based on common characteristics:
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No Association: If the points are scattered randomly without forming any recognizable pattern, it indicates no association.
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Linear Association: If the points roughly form a straight line, whether upward or downward, it indicates a linear association. If the line slopes upwards, it’s a positive linear association; if it slopes downwards, it’s a negative linear association.
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Non-Linear Association: If the points form a curve or any shape that is not a straight line, it indicates a non-linear association.
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Negative Association: If the data points trend downwards in a linear fashion, where as one variable increases, the other variable decreases, it indicates a negative association.
Depending on your visual assessment of the scatterplot, select the appropriate choice. If you have details about how the points are arranged, I can help further!