b_(yx)byx gives the expected value of y when x is independent and b_(xy)bxy gives the expected value of x when y is independent, where b_(yx)byx and b_(xy)bxy are the coefficients of linear regression.
Explanation:
r = sqrt√{b_(yx)byxxx×b_(xy)bxy } is the Pearson's coefficient of correlation.