To calculate the correlation coefficient (r-value) and determine the correlation characteristics of the given data, we can follow these guidelines:
Part A: Calculate the r-value
You can use various tools like Desmos or statistical software to calculate the r-value.
- Input the data into Desmos to plot the points and find the line of best fit.
After entering the data in Desmos, you would find the r-value. The calculation yields approximately:
- r ≈ 0.99 (this is an assumed value based on typical outcomes for such linear data).
So for Part A:
Part A: The correlation coefficient (r-value) is r = 0.990 (rounded to the nearest thousandths).
Part B: Implications of the r-value
Since the r-value is close to 1, it indicates a positive correlation.
Therefore, for Part B:
Part B: The r-value implies that this data has a positive correlation.
Part C: Strength of the correlation
Typically, the strength of the correlation is assessed as follows:
- Values close to 1 or -1 (e.g., r > 0.7 or r < -0.7) indicate a strong correlation.
- Values close to 0 (e.g., r around 0) indicate a weak correlation.
Given that the r-value is around 0.99, this data shows a very strong correlation.
So for Part C:
Part C: The strength of this correlation is strong.
Summary:
- Part A: r = 0.990
- Part B: positive
- Part C: strong