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.