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Based on the scatter plot below, which is a better prediction for *x* when *y* = 9?
5 or 1

To determine which value (5 or 1) is a better prediction for \( x \) when \( y = 9 \) based on the scatter plot, we can follow these steps:

1. **Examine the scatter plot:** Look at how the data points are distributed as \( y \) increases.
2. **Identify the \( x \)-value corresponding to \( y = 9 \):** Check where the data points are located on the \( x \)-axis when \( y \) is close to 9.

### Analysis:
- The scatter plot shows that when \( y \) is around 9, the corresponding \( x \)-values are generally close to 5. There are data points around \( y = 9 \) with \( x \) values between 4 and 6.
- The \( x \)-value 1 corresponds to much lower \( y \) values, far from 9.

### Conclusion:
Given the distribution of data points when \( y = 9 \), a value of **5** is a better prediction for \( x \) than 1.

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Would you like more details or have any further questions? Here are some related questions:

1. How can we identify a trend line in a scatter plot?
2. What is the relationship between \( x \) and \( y \) in this scatter plot?
3. How can we calculate the slope of a trend line from a scatter plot?
4. How do we estimate values not explicitly marked in a scatter plot?
5. What are some common mistakes to avoid when interpreting scatter plots?

**Tip:** In scatter plots, focus on the clustering of points around the value you are interested in to make more accurate predictions.

Explore how to determine a better prediction for x when y = 9 based on scatter plot analysis. Understand the distribution of data points and make accurate predictions. Suitable for students in Grades 9-12.

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