Correlation is described as which of the following?

Correlation is described as which of the following?

• A. The ratio of the variances
• B. A measure of the relationship between two traits - NOT a cause and effect - population
• C. The sum of squared differences
• D. A measure of central tendency

Answer: (B)

Correlation is a statistical measure that describes how two quantitative traits vary together across individuals in a population. It tells you whether increases in one trait tend to accompany increases or decreases in the other, and how strong that association is. The value is directional and ranges from -1 to 1: positive means the traits move together, negative means they move in opposite directions, and zero means no linear relationship. Importantly, it reflects association, not causation—observing a correlation does not prove that one trait causes changes in the other; both traits can be influenced by shared genetics, environment, or other factors. This population-level summary helps breeders understand how traits are linked, which informs indirect selection decisions. The other options describe things like a ratio of variances, a sum of squared differences, or a measure of central tendency, none of which capture the idea of how two traits relate or co-vary.

Correlation is a statistical measure that describes how two quantitative traits vary together across individuals in a population. It tells you whether increases in one trait tend to accompany increases or decreases in the other, and how strong that association is. The value is directional and ranges from -1 to 1: positive means the traits move together, negative means they move in opposite directions, and zero means no linear relationship. Importantly, it reflects association, not causation—observing a correlation does not prove that one trait causes changes in the other; both traits can be influenced by shared genetics, environment, or other factors. This population-level summary helps breeders understand how traits are linked, which informs indirect selection decisions. The other options describe things like a ratio of variances, a sum of squared differences, or a measure of central tendency, none of which capture the idea of how two traits relate or co-vary.