I am struggling to grasp the intuition behind the E[XY] of 2 Random variables that enters into the Covariance Formula:
I’m having a tough time connecting this equation with the information it gives you on how the 2 RV’s move around their means with respect to one another.
Even in its expanded (discrete) form this is making little sense to me as to what the math is saying:
[ΣiΣj xiyj pdf(xi,yj)] - [Σixi pdf(xi)] [Σjyj pdf(yj)]
If anyone could provide an intuitive explanation of what E[XY] means by itself, it would be greatly appreciated. Thanks to all. - SDH