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1. Which is not true of R², the coefficient of determination ? a It is the square of the coefficient of correlation. b. It is

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Answer:

d. It is negative when there is an inverse relationship between X and Y.

Explanation:

The above statement is not true, because the value of the R^2 is always positive. We know that the square of any value (either negative or positive) is always positive. All remaining statements are true statements. As we know R-square is the square of correlation coefficient and it is also calculated by using sum of squares. Also, it explains the variation in the dependent variable Y due to independent variable X.

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