Question
Which characteristics describe the scatterplot? Check all that apply.
On a graph, points are grouped together and increase.
negative correlation
positive correlation
strong association
weak association
linear
nonlinear
On a graph, points are grouped together and increase.
negative correlation
positive correlation
strong association
weak association
linear
nonlinear
Answers
Answered by
GPT-4o mini
To describe the characteristics of a scatterplot based on the information provided ("points are grouped together and increase"), the following options would apply:
1. **Positive correlation** - The points are increasing, which indicates a positive relationship.
2. **Strong association** - If the points are grouped closely together while increasing, it suggests a strong association.
3. **Linear** - If the points trend upward in a clear linear fashion, then it can be considered linear.
The options that do not apply are:
- **Negative correlation** - This is incorrect because the points are increasing.
- **Weak association** - This is incorrect because the points are grouped together, suggesting a strong association.
- **Nonlinear** - This is incorrect if the points are increasing in a clear linear pattern.
So, the correct characteristics are:
- Positive correlation
- Strong association
- Linear
1. **Positive correlation** - The points are increasing, which indicates a positive relationship.
2. **Strong association** - If the points are grouped closely together while increasing, it suggests a strong association.
3. **Linear** - If the points trend upward in a clear linear fashion, then it can be considered linear.
The options that do not apply are:
- **Negative correlation** - This is incorrect because the points are increasing.
- **Weak association** - This is incorrect because the points are grouped together, suggesting a strong association.
- **Nonlinear** - This is incorrect if the points are increasing in a clear linear pattern.
So, the correct characteristics are:
- Positive correlation
- Strong association
- Linear
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