If coefficient of correlation between height and weight is 2.6, TRUE is-
**Core Concept**
The coefficient of correlation measures the strength and direction of a linear relationship between two variables, such as height and weight. In this case, a coefficient of 2.6 indicates a strong positive correlation, suggesting that as height increases, weight also tends to increase.
**Why the Correct Answer is Right**
A correlation coefficient of 2.6 is not biologically plausible, as it exceeds the theoretical maximum of 1.0. However, given the options, it's likely that the question is testing the concept of correlation coefficient rather than its numerical value. A strong positive correlation between height and weight is expected, but the coefficient should be within the range of -1 to 1. In this case, the correct answer is likely to be related to the interpretation of correlation coefficients.
**Why Each Wrong Option is Incorrect**
**Option A:** This option is not provided, so we'll assume it's a distractor. A distractor would be a value outside the range of -1 to 1, or an incorrect statement about correlation coefficients.
**Option B:** This option is not provided, so we'll assume it's a distractor. A distractor would be a value outside the range of -1 to 1, or an incorrect statement about correlation coefficients.
**Option C:** This option is not provided, so we'll assume it's a distractor. A distractor would be a value outside the range of -1 to 1, or an incorrect statement about correlation coefficients.
**Clinical Pearl / High-Yield Fact**
When interpreting correlation coefficients, it's essential to remember that a strong correlation does not imply causation. Correlation coefficients only indicate the strength and direction of a linear relationship between two variables.
**Correct Answer: None**