Which of the following statements concerning the linear
correlation coefficient is/are true?
A: If the linear correlation coefficient for two variables is zero,
then there is no relationship between the variables.
B: If the slope of the regression equation is negative, then the
linear correlation coefficient is negative.
C: The value of the linear correlation coefficient always lies
between -1 and 1 inclusive.
D: A correlation coefficient of 0.62 suggests a stronger linear
relationship than a correlation coefficient of -0.82.
True statements are:
B: If the slope of the regression equation is negative, then the linear correlation coefficient is negative.
C: The value of the linear correlation coefficient always lies between -1 and 1 inclusive.
Statement A is false because, even if linear correlation coefficient is 0, there can be non-linear relationship between the two variables.
Statement D is false stronger relationship is for a correlation coefficient value closer to -1 or 1 and weaker relationship if for a correlation coefficient near 0.
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