DylanProject

To accumulate my data I am going to play thirty different games of a basketball video game (NBA 2K13; Xbox 360). Each game will have 10 minute quarters and will be played on the "Pro" difficulty level. The only variable will be that I will be functioning on a different amount of sleep. I will compare the hours of sleep to the point differential of final scores. (Example: 9 hours of sleep +8.00, 4 hours of sleep +2.00)

I believe there may be a direct correlation. Without an adequate amount of sleep the night before, hand-eye coordination as well as reaction time, all critical components of playing a video game, may not be working as well as normal. I predict that the less sleep I receive, the lower the point differential will be. The scatter plot above and the data below support my prediction. Although the correlation isn't necessarily strong, it is still a correlation. It shows that the less sleep I was functioning on, the less points I won by with only a couple outliers. R-sq is 0.32780372 which means that the Y variable is dependent on the X variable about 32% of the time. 32% is not a strong enough percentage to use to find future results. Dependent Variable: Point Differential Independent Variable: Hours of Sleep Point Differential = -6.5735294 + 2.629085 Hours of Sleep Sample size: 30 R (correlation coefficient) = 0.57254146 R-sq = 0.32780372 Estimate of error standard deviation: 11.13198
 * Simple linear regression results:**