The scatter plot shown in the image appears to display a downward trend, meaning that as one variable increases, the other variable tends to decrease. This suggests a negative correlation. The points are relatively close to forming a straight line, which indicates a strong correlation.

Steps to estimate the correlation coefficient:

1. Identify the trend: The downward slope indicates a negative correlation.
2. Estimate the strength of the relationship: The data points are tightly clustered, suggesting a strong correlation.
3. Match with correlation coefficients: A strong negative correlation corresponds to a value close to -1.

Given the options provided in the image, -0.9 would be the best estimate for the correlation coefficient.

Would you like more details on how correlation coefficients are calculated or interpreted?

Follow-up Questions:

1. What is the mathematical formula for calculating the correlation coefficient $r$?
2. How does the scatter plot change when the correlation coefficient is closer to 0?
3. What are some real-world examples where a negative correlation is observed?
4. How does a positive correlation differ visually from a negative one on a scatter plot?
5. What statistical tools can be used to confirm the correlation coefficient from data?

Tip:

A strong correlation does not imply causation—it only describes the strength and direction of the relationship between two variables.