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The scatter plot provided compares upper arm length (in inches) on the x-axis and height (in feet) on the y-axis. The data points show a positive correlation, meaning that as upper arm length increases, height also tends to increase. 

The question asks which **upper arm length measurements form a cluster**. By inspecting the graph, the densest cluster of points appears to be around an **upper arm length between 7 and 10 inches**. This is where most of the data points are concentrated, suggesting a common range for upper arm lengths within the sample group studied.

Would you like a more detailed explanation of how to interpret scatter plots or any other insights?

Here are 5 related questions for further exploration:
1. How do you calculate the correlation coefficient for this data set?
2. What does the slope of the line of best fit tell us in this context?
3. How can you determine outliers in the scatter plot?
4. What might be the biological explanation for the correlation between upper arm length and height?
5. How can the scatter plot be used to make predictions about height given arm length?

**Tip:** When identifying clusters, always look for the densest grouping of points in the scatter plot and note the range of the x-values (or y-values) within this cluster.

Which best describes the upper arm length measurements that form a cluster on the graph?

Explore how to analyze clusters in a scatter plot comparing upper arm length (in inches) and height (in feet). Learn how to interpret clusters and the relationship between these variables. Suitable for Grades 8-10, this problem focuses on statistics and correlation.

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