To calculate the correlation coefficient (specifically Pearson's r) for the given data, we can use the values provided in the table.
The correlation coefficient ranges from -1 to 1. A value closer to 1 indicates a strong positive correlation, a value closer to -1 indicates a strong negative correlation, and a value around 0 indicates no correlation.
You've stated that the data shows a positive correlation, which suggests the correlation coefficient should be positive.
Given Correlation Coefficient: For the provided data, the correlation coefficient is given as 0.97300135.
Interpretation:
- Since this value (0.973) is very close to 1, it indicates a strong positive correlation between x and y.
Conclusion: The correlation coefficient is 0.97300135, and the relationship is strong.
The correct response based on the provided options would be: 0.97300135; strong.