Solution for QID #35603: 1) When interpreting a correlation coefficient, A) it&rsquo | StudyHelpMe

1)  When interpreting a correlation coefficient, A) it’s important to look at the +/– sign. B) it’s important to look at the magnitude. C) it indicates the strength of the relationship. D) all of the above. 2) The correlation between two random variables X and Y A) cannot be negative since variances are always positive. B) is the covariance squared. C) can be calculated by dividing the covariance between X and Y by the product of the two standard deviations. D) is given by corr(X, Y ) = Cov(X,Y ) . Var(X) Var(Y ) 3) If two random variables are positively correlated, A) their covariance will be very large. B) their covariance will be positive. C) we cannot tell from the covariance. D) their correlation coefficient will equal to 1.