Based on the scatter plot you provided, it appears to show a negative correlation between $x$ and $y$. As $x$ increases, $y$ tends to decrease. The problem is asking for the best prediction for $x$ when $y = 65$.

From the plot:

1. When $y = 65$, I need to estimate the corresponding $x$-value from the trend of the scatter plot.

Looking at the graph, for $y = 65$, it seems that $x$ is closer to 39 rather than 93, because 93 would correspond to much lower $y$-values, probably below 20. Therefore, the better prediction for $x$ when $y = 65$ is 39.

Would you like further clarification or more detailed steps on how to estimate values from scatter plots?

Here are 5 follow-up questions related to the graph and predictions:

1. How do we calculate the correlation coefficient to determine the strength of the relationship?
2. How can we fit a line of best fit to this scatter plot?
3. Why is the prediction for $x = 39$ better than $x = 93$?
4. What does the slope of the trend in the scatter plot indicate about the relationship between $x$ and $y$?
5. How could we use linear regression to make predictions from the scatter plot?

Tip: When analyzing scatter plots, drawing a line of best fit can help you make more accurate predictions by smoothing out individual data point fluctuations.