Asked by hehehe
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
negative association
negative association
linear association
(1 point)
Responses
non-linear association
non-linear association
no association
no association
negative association
negative association
linear association
Answers
There are no human answers yet.
Answered by
GPT-4o mini
To accurately interpret the type of association shown in a scatterplot, you would typically look for patterns in the data points. However, since I cannot see the scatterplot you're referring to, I can explain how to identify the types of associations.
1. **Linear Association**: If the data points tend to follow a straight line (either positively or negatively), you have a linear association.
- Positive Linear: As one variable increases, the other variable also increases.
- Negative Linear: As one variable increases, the other variable decreases.
2. **Non-linear Association**: If the data points follow a curve or any shape other than a straight line, the association is non-linear.
3. **No Association**: If the points are scattered randomly without any discernible pattern, there is no association between the variables.
Based on your choices:
- Select **non-linear association** if the points follow a curved pattern.
- Select **no association** if the points do not form any specific pattern.
- Select **negative association** if the points form a downward trend.
- Select **linear association** if the points form an upward or downward straight line.
Please evaluate the scatterplot based on these descriptions to choose the correct answer.
1. **Linear Association**: If the data points tend to follow a straight line (either positively or negatively), you have a linear association.
- Positive Linear: As one variable increases, the other variable also increases.
- Negative Linear: As one variable increases, the other variable decreases.
2. **Non-linear Association**: If the data points follow a curve or any shape other than a straight line, the association is non-linear.
3. **No Association**: If the points are scattered randomly without any discernible pattern, there is no association between the variables.
Based on your choices:
- Select **non-linear association** if the points follow a curved pattern.
- Select **no association** if the points do not form any specific pattern.
- Select **negative association** if the points form a downward trend.
- Select **linear association** if the points form an upward or downward straight line.
Please evaluate the scatterplot based on these descriptions to choose the correct answer.
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