In Figure 1, we ran a regression to see if there is a correlation between the run's Score and the number of runs a player plays. To our surprise, the average score actually went down for the first few runs a new player plays in the game. Is this because the player is getting tired? Is it because the player is experimenting with the game and being punished for risky actions? We may never know... however we do hypothesize that the reason for the lowered score is because the player is experimenting with the hitboxes of the player and the obstacles.

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In Figure 2, we have a value called Average Run Speed. That value represents the average speed the player was going during a run, so if a player was constantly at maximum speed, that value would increase. We hypothesized that the ARS of a run would have an effect on the overall run duration. Thanks to those regression lines, we can see that ARS has a decently sized effect on the run duration, but doesn't entirely decide the duration of a run.

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In Figure 3, we wanted to see if players were able to avoid more obstacles the more they played the game. We thought this graph would be showing an upward trend, because more experience in a game means it is easier to get a higher score. To our surprise, the more a player plays the game the less obstacles they are able to avoid, as shown by the dip in the second half of first-time runs. This is also probably correlated with the fact that the player might be experimenting and ending their runs early.