So looking at my graph, I believe that my experiment shows that predicted negative correlation. However, as I stated previously, there are a couple of instances where the parachutte dropped quickly and then on the next toss slowed down. I believe this is due to several factors. First, as is illustrated in my table, there is a great deal of variation in the weight of the pennies. Now I didn't have the time to go and analyze which pennies were heavier based on the year that they were issued, but they were not uniform. This could have contributed to how fast the parachutte fell. Second, there was a light wind on the day of the drop and that could have influenced the speed at which the chutte deployed. Third, my assistant was running the stop watch and although she did a great job, there is always the potential for human error. Finally, did you see my parachutte man? He was not the navy seal of parachutte guys. There could have been variability in when he chose to deploy his shoot.

There was an area of the graph that showed a large acceleartion in the time that it took for the chutte to hit the ground around the 3rd drop. I believe that this must have been attributed to one of the previously stated explainations.

If I were to preform this experiment with an unlimited budget in an attempt to get completely accurate data, I would change several factors. First, I would want to upgrade to a more reliable parachutte. Second, I would want to preform this experiment indoors where there would be no variation in the wind or weather conditions, and finally, I would want a sensor that recorded the exact time of release and landing.

On a side note, my kids loved helping with this experiment and they were psyched that they were allowed to keep parachutte guy.

Any feedback would be greatly appreciated.