#b_(yx)# gives the expected value of y when x is independent and #b_(xy)# gives the expected value of x when y is independent, where #b_(yx)# and #b_(xy)# are the coefficients of linear regression.

Explanation:

r = #sqrt#{#b_(yx)##xx##b_(xy)# } is the Pearson's coefficient of correlation.