Based on your description of the scatter plot, it seems that there is a strong positive correlation between "Time Spent Studying" (x-axis) and "Scores on a Test" (y-axis). The data points are described as being in a scattered increasing curved pattern, which suggests that as time spent studying increases, test scores also tend to increase.
Given the options provided for the correlation coefficients:
- 0.98: This indicates a very strong positive correlation.
- 0.75: This indicates a moderate positive correlation.
- −0.98: This indicates a very strong negative correlation.
- 1: This indicates a perfect positive correlation.
Since the points are in a curved pattern and appear to have a strong positive trend, the best estimated correlation coefficient would likely be 0.98. This value reflects a strong positive correlation, which aligns with the description of the data, assuming the relationship isn't perfectly linear.
Therefore, the best choice is: 0.98