<prompt> A cardiologist found a highly significant correlation coefficient r 0.090, p 0.01 between the systolic blood pressure values and serum cholestrol values of the patients attending his clinic. Which of the following statements is a wrong interpretation of the correlation coefficiency observed ?Since there is a high correlation, the magnitude of both the measurements are likely to be close to each otherA patient with a high level of systolic BP is also likely to have a high level of serum cholesterol.A patient with a low level of systolic BP is also likely to have a low level of serum cholesterol.About 80 of the variation in systolic blood pressure among his patients can be explained by their serum cholesterol values and vice a versa  <response>: Correlation coefficients: Pearsons Correlation coefficient: Spearmans Rank Correlation coefficientCoefficient of determination: Is the percentage of variation in a variable that is explained by one or more of the others Is generally obtained in a regression setup Coefficient of determination Correlation coefficient2 r2In the given question, a cardiologist found a highly significant correlation coefficient r 0.90, p 0.01 between the systolic blood pressure values and serum cholesterol values of the patients attending his clinic, Since r 0.90 p 0.01; implies significant relationship, it means there is a strong positive correlation between systolic blood pressure SBP and serum cholesterol SC; therefore as SBP increases, SC will also increase and vice-versa. Thus, a patient with a high level of systolic BP is also likely to have a high level of serum cholesterol AND a patient with a low level of systolic BP is also likely to have a low level of serum cholesterol. Since r 0.9; Coefficient of determination r2 0.92 0.81 Interpretation of r2: 0.81 or 81 of variation in systolic blood pressure among patients can be explained by their serum cholesterol values and vice-versa. 