The correlation coefficient, \( r \), is the slope of the "best-fit" line. FALSE TRUE

**Step 1: Understand the Correlation Coefficient** The correlation coefficient, \( r \), measures the strength and direction of the linear relationship between two variables. It is a dimensionless value that ranges between \(-1\) and \(1\). **Step 2: Understand the Slope of the Best-Fit Line** When performing linear regression, the slope (\( b \)) of the best-fit line is calculated using the formula: \[ b = r \cdot \frac{S_y}{S_x} \] where \( S_y \) and \( S_x \) are the standard deviations of the \( y \)-values and \( x \)-values respectively. **Step 3: Analyze the Statement** The statement "The correlation coefficient, \( r \), is the slope of the best-fit line" is incorrect because \( r \) itself does not provide the slope; rather, it is used in the formula to determine the slope when combined with the standard deviations of the variables. **Conclusion** The correct answer is: **FALSE**