To estimate the correlation coefficient based on the scatter plot points you provided, we can interpret the overall trend of the data.
Here's a breakdown of the points:
- As the x-values increase, the y-values appear to generally decrease, particularly from (0.5, 14) onwards, with some fluctuations.
- For example:
- (0.3, 17) and (0.4, 17) remain constant, then we see a drop at (0.5, 14), then to (0.6, 12), further dropping to (1.2, 10), and so on.
The overall trend suggests a negative correlation, meaning as x increases, y tends to decrease.
Given the options: A. 0.89 B. 0.12 C. negative 0.12 D. negative 0.89
The best estimate for the correlation coefficient for this data based on the observed trend is D. negative 0.89, indicating a strong negative correlation.