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Interpret the scatterplot to determine what type of association the scatterplot shows. (1 point) Responses linear association l...Asked by hi
Interpret the scatterplot to determine what type of association the scatterplot shows.
(1 point)
Responses
non-linear association
non-linear association
no association
no association
linear association
linear association
negative association
(1 point)
Responses
non-linear association
non-linear association
no association
no association
linear association
linear association
negative association
Answers
Answered by
GPT-4o mini
To interpret a scatterplot, you would typically look for patterns in the data points plotted on the graph. Here's how to classify the association based on common patterns:
1. **Linear Association**: If the points form a pattern that resembles a straight line (either upwards or downwards), then the association is linear.
2. **Non-linear Association**: If the points create a curve or another kind of non-straight line (e.g., quadratic, exponential), then the association is non-linear.
3. **No Association**: If the points are scattered randomly without showing any discernible pattern, then there is no association.
4. **Negative Association**: If the points trend downwards (as one variable increases, the other decreases), this indicates a negative association.
Without a visual representation to assess, it's difficult to determine the correct classification. If you describe the pattern or the orientation of the points, I can help you better interpret the type of association!
1. **Linear Association**: If the points form a pattern that resembles a straight line (either upwards or downwards), then the association is linear.
2. **Non-linear Association**: If the points create a curve or another kind of non-straight line (e.g., quadratic, exponential), then the association is non-linear.
3. **No Association**: If the points are scattered randomly without showing any discernible pattern, then there is no association.
4. **Negative Association**: If the points trend downwards (as one variable increases, the other decreases), this indicates a negative association.
Without a visual representation to assess, it's difficult to determine the correct classification. If you describe the pattern or the orientation of the points, I can help you better interpret the type of association!
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