True or false? The linear correlation coefficient, r, is a numerical measure of the strength of the relationship between two variables representing quantitative data.

True.

True.

To determine the truthfulness of this statement, we can break it down and examine the key terms.

1. "Linear correlation coefficient, r": The linear correlation coefficient, often denoted as "r," is a mathematical measure that quantifies the strength and direction of the linear relationship between two quantitative variables. In other words, it shows how closely the data points in a scatter plot conform to a straight line.

2. "Numerical measure of the strength of the relationship": The value of r ranges from -1 to +1. A value of -1 indicates a perfect negative linear relationship, +1 indicates a perfect positive linear relationship, and 0 indicates no linear relationship. Thus, the magnitude of r provides insight into the strength of the relationship between the two variables.

3. "Between two variables representing quantitative data": The linear correlation coefficient r is primarily used to measure the strength of a linear relationship between two quantitative variables. It is not applicable to categorical or qualitative variables.