A simple linear regression analysis was conducted to predict memory recall scores based on hours of sleep. The overall model was statistically significant, (F (1, 18) = 489.576, p < .001). The Adjusted "R^2" indicated that 96.3% of the variance in memory recall scores can be explained by the variance in hours of sleep. It was found that the hours of sleep was a statistically significant predictor of memory recall score (=22.13, t(18)=22.13, p<.001) ), with memory recall score increasing for each additional hour of sleep. The regression model suggested that each increased hour of sleep was related to a 5.6-mark improvement in memory recall score. The regression model equation for this model was: Memory Recall Score = 31.3 + (5.6*Hours of Sleep)