To provide an accurate prediction based on the scatterplot, I would need to see the actual visual representation of the data. However, you can typically analyze a scatterplot by looking at the trend of the points to determine the relationship between the number of customers and the bottles of water sold.
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Identify the trend: Check if there is a linear relationship. As the number of customers increases, are the number of bottles sold also increasing?
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Estimate the corresponding value: If the scatterplot demonstrates a linear trend, you can approximate the number of bottles sold for 64 customers based on the pattern of the existing data points.
Since I cannot see the actual scatterplot, I recommend using the above steps to make the best estimate. If you'd like to share more specific data points or trends from the scatterplot, I could help you better analyze it.