https://file.aiquickdraw.com/mathbot/file/1727305463951gfffhq8a.jpg

The scatter plot provided in the image shows the relationship between **weight (in pounds)** and **height (in inches)**.

Upon examining the data points, they seem to form an upward trend. As the weight increases, the height also tends to increase. This pattern is indicative of a **positive correlation**, meaning that higher weights are generally associated with higher heights.

Therefore, the correct answer is:
- **Positive correlation**

Would you like a more detailed explanation of correlation types or have any other questions?

Here are some related questions you might want to explore:
1. What is the definition of positive, negative, and no correlation?
2. How can we calculate the strength of a correlation using data points?
3. Can correlation imply causation? Why or why not?
4. What is the difference between linear and non-linear correlations?
5. How can outliers affect correlation in a scatter plot?

**Tip**: When interpreting scatter plots, look for the overall direction of the data points (upward, downward, or no clear pattern) to determine the type of correlation.

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

Learn how to identify a positive correlation between height and weight using a scatter plot. In this example, weight increases as height increases, showing a positive correlation. Perfect for Grades 8-10 students studying statistics and data analysis.

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