In the scenario described, where a graph shows a downward trend, the correlation coefficient is expected to be negative. The correlation coefficient (r) ranges from -1 to 1, with values closer to -1 indicating a strong negative correlation.

Given the options:

• –0.91: Strong negative correlation
• –0.35: Weak negative correlation
• 0.35: Weak positive correlation
• 0.91: Strong positive correlation

Since the graph shows a clear downward trend, the most likely correlation coefficient for the data is –0.91, indicating a strong negative correlation.

Would you like more details or have any questions about correlation coefficients? Here are some related questions:

1. What does a correlation coefficient of 0 indicate?
2. How can you visually determine the strength of a correlation from a graph?
3. What are some factors that might influence the correlation between two variables?
4. How is the correlation coefficient calculated?
5. Can a correlation coefficient be misleading? If so, how?

Tip: Always visualize data before making assumptions about correlation!