A correlation value near zero indicates what about the relationship between two traits?

A correlation value near zero indicates what about the relationship between two traits?

• A. Strong positive relationship
• B. Weak or no linear relationship
• C. Strong negative relationship
• D. Perfect linear relationship

Answer: (B)

Correlation shows how closely two traits move together along a straight line. Values range from -1 to +1. A value near zero means there is little to no linear association—the data don’t cluster along an upward or downward line, so you can’t reliably predict one trait from the other with a straight-line relationship. This doesn’t prove there’s no relationship at all—there could be a curved or nonlinear pattern, or the result could be affected by restricted range or measurement error. In breeding terms, a near-zero correlation means one trait won’t help predict the other in a linear model. If the relationship were strong and positive, the points would align along an upward line; if strong and negative, along a downward line; and a perfect linear relationship would lie exactly on a straight line (r = ±1).

Correlation shows how closely two traits move together along a straight line. Values range from -1 to +1. A value near zero means there is little to no linear association—the data don’t cluster along an upward or downward line, so you can’t reliably predict one trait from the other with a straight-line relationship. This doesn’t prove there’s no relationship at all—there could be a curved or nonlinear pattern, or the result could be affected by restricted range or measurement error. In breeding terms, a near-zero correlation means one trait won’t help predict the other in a linear model. If the relationship were strong and positive, the points would align along an upward line; if strong and negative, along a downward line; and a perfect linear relationship would lie exactly on a straight line (r = ±1).