To estimate the correlation coefficient based on the data provided, we first analyze the relationship between Data 1 and Data 2.
The data points are as follows:
- (0, 3)
- (2, 6)
- (4, 9)
- (6, 12)
- (8, 15)
- (10, 18)
Plotting these points on a scatter plot, we observe a clear linear relationship. As Data 1 increases, Data 2 also increases in a consistent manner. This indicates a strong positive correlation.
Based on the nature of the data:
- All points fall on a straight line with a positive slope.
Thus, the correlation coefficient (r) is close to +1, representing a perfect positive linear relationship.
Given the options presented:
- The most appropriate estimate for the correlation coefficient is 1.
So the final answer is 1.