Part: $$ 1 / 5 $$ Part 2 of 5 (b) Compute the value of the correlation coefficient. Round your answer to at least three decimal places. $$ r=\square $$

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1. The correlation coefficient, $$ r $$, is given by the formula

$$
r = \frac{\sum (x_i - \bar{x})(y_i - \bar{y})}{\sqrt{\sum (x_i - \bar{x})^2} \sqrt{\sum (y_i - \bar{y})^2}},
$$

where
- $$ x_i $$ and $$ y_i $$ are the data values,
- $$ \bar{x} $$ and $$ \bar{y} $$ are the means of the $$ x $$ and $$ y $$ values respectively.

2. To compute $$ r $$, you would typically:
   - Calculate the means $$ \bar{x} $$ and $$ \bar{y} $$.
   - Compute the deviations $$ (x_i - \bar{x}) $$ and $$ (y_i - \bar{y}) $$.
   - Multiply the deviations and sum the products to obtain $$\sum (x_i - \bar{x})(y_i - \bar{y})$$.
   - Compute the sums $$\sum (x_i - \bar{x})^2$$ and $$\sum (y_i - \bar{y})^2$$.
   - Substitute these sums into the formula above.

3. Finally, round the obtained value of $$ r $$ to at least three decimal places.

Since the specific data needed for these calculations was not provided, we cannot compute an explicit numerical value. Please provide the dataset or additional information to continue with calculating $$ r $$.
To compute the correlation coefficient $$ r $$, follow these steps: 1. Calculate the means of the $$ x $$ and $$ y $$ values. 2. Find the deviations from the mean for each data point. 3. Multiply the deviations and sum the products. 4. Square the deviations and sum them separately for both $$ x $$ and $$ y $$. 5. Plug these sums into the correlation coefficient formula. 6. Round the result to at least three decimal places. Without specific data, the exact value of $$ r $$ cannot be determined.

Part:
Part 2 of 5
(b) Compute the value of the correlation coefficient. Round your answer to at least three decimal places.

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Part: Part 2 of 5 (b) Compute the value of the correlation coefficient. Round your answer to at least three decimal places.