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The scatter plot provided displays the relationship between height (in inches) and weight (in pounds). The data points generally show an upward trend, meaning that as height increases, weight also tends to increase.

This indicates **a positive correlation** between height and weight. In other words, taller individuals in this sample tend to weigh more, which is typical for many population groups.

The correct answer to the question is: **positive correlation**.

Would you like further details on this? 

Here are 5 related questions you might want to explore:
1. How do we calculate the strength of a correlation?
2. What is the difference between positive and negative correlation?
3. What statistical tools are used to quantify correlation?
4. Can you have a strong positive correlation but still have outliers in the data?
5. How do scatter plots help in visualizing correlation?

**Tip:** Correlation does not imply causation. Even with a positive correlation, it doesn't mean that height directly causes weight to increase.

Does it appear that there is a positive correlation between height and weight, a negative correlation, or no correlation?

Learn how to determine the correlation between height and weight using a scatter plot. This problem focuses on understanding positive correlation and visual data interpretation, making it ideal for students in Grades 8-10.

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