If we see the scatter plot, we can see that:
1. The two variables have a strong correlation.
2. Since the regression line has a negative slope, we can say that the correlation is negative.
3. It is not a perfect negative correlation since some of the points lie on the regression line.
Therefore, since the correlation coefficient must be negative, we have the following options:
1. Correlation Coefficient = -1. This is a perfect negative correlation. This is not the case (see above).
2. Correlation Coefficient = -0.2. This is a weak negative correlation. This is not the case (see explanation above).
3. Correlation Coefficient = -0.8. This correlation coefficient shows a negative and strong correlation, and this is the case the scatter plot presents.
Therefore, the value that best estimates the value for the correlation coefficient of the scatter plot is -0.8 (fourth option).