The Correlation Between X and Y
A)cannot Be Negative Since $\frac { \operatorname { cov } ( X , Y ) } { \operatorname { var } ( X ) \operatorname { var } ( Y ) }$

question 8

Multiple Choice

The correlation between 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)= \(\frac { \operatorname { cov } ( X , Y ) } { \operatorname { var } ( X ) \operatorname { var } ( Y ) }\)

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