To accurately interpret the scatterplot, I would need to see the graph itself. However, I can help you understand how to identify the type of association it shows based on the patterns in the data points:
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No association: If the points are scattered randomly without any discernible pattern or trend, this indicates no association between the variables.
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Non-linear association: If the points follow a curved pattern (e.g., U-shape, inverted U, etc.), this indicates a non-linear association rather than a straight-line relationship.
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Negative linear association: If the points trend downwards from left to right, suggesting that as one variable increases, the other variable decreases, this indicates a negative linear association.
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Positive linear association: If the points trend upwards from left to right, indicating that as one variable increases, the other also increases, this signifies a positive linear association.
If you can describe the scatterplot or share more details about the arrangement of points, I can help you determine which type of association it demonstrates more specifically!