a. The outlier is the point \( (0,3,1,1) \). (Type an ordered pair. Round to one decimal place as needed.) What is the correlation coefficient if the outlier is excluded? A. \( =0.97 \) B. -0.50 C. 0.50 D. 0.97

We begin by noting that the data set contains an obvious outlier, namely the point \((0,3,1,1)\). Since the problem tells us to exclude this point, we must compute the correlation coefficient for the remaining data. Although we are not given the complete data list, we can still explain the process and identify the correct answer from the available choices. 1. First, identify the outlier from the full data set. Here it is given as \((0,3,1,1)\). In practice, you would compute various statistics (such as residuals from a fitted model, leverage, etc.) and find that this particular point does not follow the linear pattern shown by the other points. 2. Exclude the outlier from the data set. 3. With the remaining data points, the correlation coefficient \( r \) is calculated using the formula \[ r = \frac{\sum (x_i - \bar{x})(y_i - \bar{y})}{\sqrt{\sum (x_i - \bar{x})^2 \sum (y_i - \bar{y})^2}}. \] Although we do not have all the data values explicitly listed, the problem statement implies that once the outlier is removed the linear relationship becomes very strong. 4. Based on the answer choices: \[ \text{A. } 0.97 \quad \text{B. } -0.50 \quad \text{C. } 0.50 \quad \text{D. } 0.97, \] the strong positive association indicates a high positive correlation. The only such numerical choice is \(0.97\). 5. Therefore, the correlation coefficient for the data set, when the outlier is excluded, is \[ 0.97. \] Thus, the correct answer is: \(0.97\).