The strength of the linear relationship between two numerical variables may be measured by the:
A)correlation coefficient.
B)coefficient of variation.
C)interquartile range.
D)third quartile.

Question

Quizplus · Accepted Answer

The correlation coefficient is a measure of how strong and in what direction the linear relationship between two numerical variables is. It ranges from -1 to 1, with values closer to -1 or 1 indicating a stronger linear relationship, and values close to 0 indicating a weaker or no linear relationship. Therefore, the correlation coefficient is the best choice for measuring the strength of the linear relationship between two numerical variables. The coefficient of variation measures the relative variability of a dataset, while the interquartile range and third quartile are measures of the spread or variability of a dataset, but they do not measure the strength of the linear relationship between two variables.

The Strength of the Linear Relationship Between Two Numerical Variables