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The scatter plot below represents the number of hot drinks sold on a given day versus the low temperature of that day. Of the following lines, which best fits the data in the scatter plot?

To determine which line best fits the data in the scatter plot, let's analyze the general trend and pattern of the data points.

### Observations:
- The scatter plot shows a negative correlation, where the number of hot drinks sold decreases as the low temperature increases.
- This negative linear trend suggests that as it gets warmer, fewer hot drinks are sold.

### Choosing the Best Fit Line:
- The best-fit line would have a negative slope, closely following the downward trend of the data points.
- The line should minimize the distance between itself and all the points in the scatter plot, ideally passing through the middle of the data cloud, balancing the points above and below the line.

### Conclusion:
Without the specific options provided, I would conclude that the best-fit line is one that has a negative slope, closely following the linear trend shown in the scatter plot. It might look like:

\[ y = mx + b \]

where \( m \) is negative.

If you have specific options or further details about the lines, I can help you choose the exact best-fit line. Would you like a more detailed analysis or further assistance on this?  

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**Questions for further exploration:**

1. What is the equation of the best-fit line?
2. How would you calculate the slope of the line from the given data points?
3. What does the slope of the line represent in this context?
4. How would the graph change if the data had a positive correlation?
5. What statistical methods can be used to determine the best-fit line?
6. How does the correlation coefficient relate to the best-fit line?
7. What would happen to the best-fit line if more data points were added?
8. How can the accuracy of the best-fit line be evaluated?

**Tip:** When determining a line of best fit, always consider both the slope and the alignment of the line with the general trend of the data points.

Explore the analysis of finding the best-fit line for a scatter plot showing the correlation between hot drinks sold and low temperature. Understand how to determine the best-fit line with a negative slope and its implications. Suitable for advanced high school students and beyond.

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