The regression R2 is a measure of: A. whether or not ESS > TSS. B. the square of the determinant of R. C. whether or not X causes Y. D. the goodness of fit of your regression line.

The first one, i believe, would be correct. all the others have one thing in common, and that's that they have repeating numbers. in the second one, x and y have repeating 6's and 3's, and in the third, x and y have repeating 6's as well. in the last one, there are repeating 3's. the first one has no repeating numbers.