how do you find equation of the least-squared line (line of best fit) from 2-vars stats and the correlation?
How about this formula:
predicted y = (rSy/Sx)X - (rSy/Sx)xbar + ybar
...where r = correlation, Sy = sd of y, Sx = sd of x, and X is the variable in 'a + bx' equation.
Note: xbar = mean of x; ybar = mean of y.
I hope this helps and is what you were asking.