What is the best way to demonstrate a linear relationship between two dependent variables? I'm trying to find the correlation between two variables, but I'm not entirely sure how to go about this so thought I'd ask it here.
Say we have a game. The aim of the game is to score more points than your opponent. The person with the most points wins.
There's an obvious dependence / correlation here between most_points in a game / winning_score and wins, because those are the rules of the game.
I want to model this simple correlation but I'm not sure what's the right way to go about it.

The model is that if you score more points, you win, and if you won, you scored more points. Given the rules of your game, those are synonyms.
Most games behave that way, though you could introduce more complex rules. For instance, the card game Hearts wants to keep scores low, but if you get a sufficiently high score, you wind up winning. I remember calling this “shooting the moon”.
