It looks like you're listing types of associations that can exist between two variables in statistics. Here's a brief description of each:
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Linear Association: This occurs when there is a straight-line relationship between two variables, meaning that as one variable increases, the other variable tends to either increase or decrease at a constant rate.
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Negative Association: This describes a relationship where one variable increases while the other variable decreases. The slope of the line in a scatter plot would be downward.
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Non-linear Association: This indicates a relationship that cannot be described with a straight line. The relationship might be quadratic, exponential, or follow some other curve.
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No Association: This means that there is no discernible relationship between the two variables; changes in one variable do not predict changes in the other.
If you have specific data or context, I can help analyze it to identify which type of association may apply.