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For the case of simple linear regression with one independent variable, which of the following statements about the correlation coefficient is least accurate? A. The correlation coefficient can vary between −1 and +1. B. If the correlation coefficient is negative, it indicates that the regression line has a negative slope coefficient. C. The correlation coefficient describes the strength of the relationship between the X variable and the Y variable. D. If the regression line is flat and the observations are dispersed uniformly about the line, the correlation coefficient will be +1. |