**Explanation:**

**Correlation Coefficient:**
The correlation coefficient is a statistical measure that measures the strength and direction of a linear relationship between two variables. It is denoted by the symbol "r" and ranges between -1 and 1. A positive correlation indicates a direct relationship, while a negative correlation indicates an inverse relationship.

**Correlation Coefficient between x and y:**
The correlation coefficient between x and y measures the relationship between these two variables. It tells us how closely the points in a scatter plot of x and y cluster along a straight line. If the correlation coefficient is close to 1, it means there is a strong positive relationship, while a correlation coefficient close to -1 indicates a strong negative relationship. A correlation coefficient close to 0 indicates no linear relationship.

**Correlation Coefficient between u and v:**
Similarly, the correlation coefficient between u and v measures the relationship between these two variables. It tells us how closely the points in a scatter plot of u and v cluster along a straight line.

**Correlation Coefficient between u and v is equal to the Correlation Coefficient between x and y:**

The given statement states that the correlation coefficient between x and y is equal to the correlation coefficient between u and v. This means that the strength and direction of the linear relationship between x and y are the same as the strength and direction of the linear relationship between u and v.

Therefore, the given statement is true. The correlation coefficient between x and y is equal to the correlation coefficient between u and v.