The graph above has the 50 meter sprint on the horizontal x-axis and vertical jump on the vertical y-axis. As you'll notice, the higher an athlete can jump, typically the faster he can run.Implications of this correlation:
1) Vertical jump training may be great for increasing speed. I don't have the scientific data, but I would venture to guess that the shorter the sprint, the more correlated vertical jump height is with speed.
2) Outliers on the graph may represent quick individuals who are not fast. What this means is that they are explosive and can reach top speed quickly, but their top speed is lower than less explosive individuals. This is reflected in their vertical jump being higher than the averaged line you see.
3) Outliers below the curve may represent individuals who are fast, but not quick. Their low vertical jump indicates a lack of explosion from the 0-15 meter range, let's say for example, but does not accurately indicate their top speed, which may be reached at 20 meters or 25 meters. They therefore run faster times with lower than expected vertical jump scores.
4) Outliers below the line should train explosiveness while outliers above the line should train to increase top speed.
**Always note that correlation does not mean causation! That is, although vertical jump and sprint speeds are correlated, it does not necessarily mean that increasing vertical jump scores will increase sprint speeds. Although I personally feel that this is the case, I have not presented enough evidence to ensure that one variable (vertical jump) is causing another variable to increase (sprint speed).
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