Which of the following statements is true?

Question

Quizplus · Accepted Answer

The correlation coefficient (r) measures the strength and direction of the linear relationship between two variables. A larger value of r (closer to 1 or -1) indicates a stronger linear relationship and thus a more accurate prediction of Y'. Therefore, statement A is true. Statements B and C are incorrect because the SE_Estimate is a measure of the estimation error or variability of the predicted values around the regression line, and it does not directly affect the value of r or the accuracy of the prediction of Y'. Statement D is incorrect because the value of e² (estimated standard error of the slope) is not related to r or the prediction of Y', but rather to the precision of the estimated slope coefficient.

Which of the Following Statements Is True