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The average speed can be calculated using the graph, by calculating the slope of the line of best fit, which is rise divided by run. It also can be calculated by dividing the total distance travelled by the total time taken. Some things that may affect my results are the variables. The independent variable, the distance, may affect the results as the timing will be different if the distance was not the same. That is why we kept the total distant constant. The dependent variable, the time, was dependent on our results, so it does not really affect our results. The control variable, the track, would have affected our results as the amount of fiction produced would be different and so would affect our speed if we changed and did our experiments on different tracks. This is the reason why we did the experiment on the same track. The last variable, the uncontrolled variable, was the weather. The different amount of sunshine will tire people to different degrees, and our performance on the track will be affected. Or if the wind was blowing against one person, and with the other, the ease of the running will change, and so affects the results. Unfortunately, we cannot control the weather, so we can only leave this as the uncontrolled variable. Some decisions I made may also affect the results a little bit. I rounded up my results to a whole number, which I think was totally justified. One of the main reasons I rounded my results up was that I borrowed some results from Group B to fill in for the two missing boys in our group, and their results were rounded up already. So, if I used decimal places, their data would be all .00, which will definitely not be fair to my own results. So that is why I rounded my results up to a whole number. My results may not be the most accurate, but one thing I can do to improve that next time is to take specific results of my own, so I do not have to borrow results from another group, and used full decimal points, so my result is specific. **Limitations and improvements:** **Conclusion:** My hypothesis was correct as my results matched my hypothesis that boys run faster than girls. Boys run faster than girls over the same distance. The graph shows that the boys’ average speed is 6m/s, whereas the girls’ average speed is 4.5m/s, and is evidently slower than the boys. The lines of best fit in the graph also show that girls are slower than boys, as the girls’ line was gentler than the boys’, showing that we girls took more time to complete the 100m. **Possible further research:** Uncontrolled variable: The variable that may affect the results a little bit but you leave random
 * Evaluation:**
 * **Limitations** ||  **Improvements**  ||
 * We did not have enough boys to be even so we borrowed the results of two boys from the other group. ||  Next time, we should try to make a group of the same number of boys and girls.  ||
 * The other group’s results were of a different accuracy as they might have pressed the stopwatch earlier than ours. ||  Next time, if we have to borrow results, we should borrow people instead of the results and time them ourselves.  ||
 * Our results were not very accurate as we may have pressed the stopwatch a bit faster or a bit slower. ||  Next time, we should station two people at each mark so they can compare their timings and so get a more accurate reading.  ||

The average speed of 13 year old boys: 15 seconds for 100m dash  The average speed of 13 year old girls: 18 seconds for 100m dash   The average speed of a grown man (running): 16km/h   The average speed of a grown woman (running): 12km/h   Age, gender, fitness level, build and race all affects the speed of someone.