As you are about to see, I'm home alone and thus am EXTREMELY bored.
Posts vs. Position - Is There A Relationship?
a.k.a. Statistics 101 for Spooners
The Data:
I obviously removed Element from the "Most Posted" list, and I removed any currently eliminated players from both lists, meaning that both lists go from 1-17.
Since I'm trying to see if a person's posts in the thread can predict their position on the leaderboard (as opposed to the other way around), the "Most Posted" Position will be the independent variable (on the x-axis) while the Leaderboard Position will be the dependent variable (on the y-axis).
The Scatterplot:
The "R^2 = 0.27255" is the coefficient of determination. What this effectively means is that among the variation in leaderboard positions, about 27.255% of that can be explained by people's variations in the "Most Posted" list. This isn't particularly high.
The "y = 0.5221x + 4.3015" is the relationship's equation. Theoretically, if a significant statistical relationship actually exists, this would mean that you could plug in your position on the "Most Posted" list where "x" is, and the answer would be pretty close to your position on the leaderboard. (Obviously this won't work for anybody in 1st through 4th place, since the equation requires you to add 4.3 to get your leaderboard position).
That being said, we actually need to see if a significant statistical relationship does in fact exist:
The Regression Output:
A lot of numbers that you won't understand if you've never taken a statistics course, but the most important one in answering our question is the "Significance F". Typically, that number is compared to a standard of 5% - if it's above that, no significant relationship exists, while if it's below that, a significant relationship does exist. The Significance F in this case is ~3.16%, which would indicate that a significant relationship does actually exist (although it must be noted that it did not pass the "test" by very much - in actual strong linear relationships, the Significance F is a ridiculously small number).
So there you go - while the sample size is too small to make any of this actually mean much, plus the R^2 indicates that the relationship isn't particularly strong, there does seem to be an ever-so-slightly significant relationship between a Spooner's ranking in the Most Posts list and their ranking on the point leaderboard.
Why did I always view him as being UTR
That's a cool post to see.