This graph above shows that different heights does affect the speed of a shuttlecock. On the x axis, the data is the height of where the shuttlecock is dropped from, while the y axis is the average speed (m/s). The height where the shuttlecock is dropped increases, as the average speed of each height increases as well. The result of the graph is shown that the line keeps on increasing even if it is not a straight line graph. These results support my hypothesis, which states that “if the higher the height that we drop the shuttlecock from, then the vertical speed will increase.”
The graph shows that it is not a straight line graph. Therefore in order to see an average graph and see the trend line, the brown line shows …show more content…
However my hypothesis only proves that height affects the speed of a falling object. To improve my hypothesis, I would change my prediction to “I predict that one of the factors-height, will affect the vertical speed of a falling object.”From this new hypothesis without saying that height is the only factor that will affect the speed of a falling object.
Realistic improvements to the method:
Limitations to method:
Using a stopwatch to start and stop the shuttlecock dropping is not reliable, because we cannot perfectly start and stop the shuttlecock.
The ruler is slanted when we stack up the ruler’s together. Because we cannot perfectly align the rulers on top of each other, it makes the method and the data inaccurate and not reliable.
Improvements:
If we used a motion sensor to start and stop the shuttlecock, it could have been more reliable. The results could be more accurate rather than by a human’s eye.
Because we were using a soft ruler, we could have used a steel or metal ruler. By using a steel or metal ruler, to make them all in alignment. This could also imply that the results could be more