To make a prediction based on the scatterplot, we would typically analyze the trend of the data points and the relationship between the number of customers and bottles sold. While I cannot see the scatterplot to provide a precise answer, I can guide you through how to make that prediction.
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Identify the trend: Look for a general trend in the scatterplot—whether it’s linear or non-linear.
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Find the point: Look for the point where the number of customers is 64 and analyze the corresponding value of bottles sold based on the relationship in the scatterplot.
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Choose a response: Select the option that best matches the observed value from the scatterplot based on the number of customers being 64.
If you can analyze the scatterplot following these steps, you should be able to confidently choose one of the choices (A, B, C, or D). If you provide more specific details about the scatterplot, I could help you further in estimating the right choice!