Heart Rate Lab Report

1401 words - 6 pages

The purpose of this experiment was to gather data on how the amount of time spent active impacts the speed of heart rate in beats per minute. The hypothesis stated that if the amount of time active is lengthened then the speed of the heart rate is expected to rise because when one is active, the cells of the body are using the oxygen quickly. The heart then needs to speed up in order to maintain homeostasis by rapidly providing oxygen to the working cells. The hypothesis is accepted because the data collected supports the initial prediction. There is a relationship between the amount of time spent active and the speed of heart rate: as the amount of time spent active rose, the data ...view middle of the document...

Since this increase is evident within the data, the idea that heart rate truly is affected by length of time spent exercising is reiterated. In addition, the data not only supports the original hypothesis, but it appears that there is a sort of linear relationship between the results. The scatter plot graph shows that a line of best fit for these data points of average heart rates is possible. The equation for the line of best fit was y = 2.86x + 87.1. This means that if the data had a linear trend, for every second one exercises, the heart rate will speed up by 2.86 beats. This escalation would continue until the point where the heart rate begins to level off at a steady pace, which for most is roughly around 200 beats per minute during exercise. For example, according to the graph and line of best fit, the average resting heart rate is approximately 87.1 bpm and after 10 seconds and by using the equation, ten seconds of exercise should produce a heart rate of around 115.7 bpm. Moreover, the line of best fit demonstrates that after 20 and 30 seconds of exercise, the average heart rates should be around 144.3 and 172.9 bpm. Comparing these numbers against the actual data points collected, which were 79, 124, 154, and 165 bpm, the line of best fit predictions are reasonable considering they are all within 10 beats of the actual data. If this line of best fit was accurate until the point of the heart reaching a general target heart rate, then 39.5 seconds is the estimated amount of time for that to occur. The conclusion that length of time spent active does affect the speed of heart rate can be made.
This lab is adequately reliable. It was repeated three times and throughout all three trials, the data collected remained within 15 beats per minute of each other, and those differences could be attributed to a varying effectiveness of different test subject’s hearts, as well as human error when collecting the data. The procedure was well detailed and the collection of data is simple counting skills. If the data collected in this conduction of the experiment was to be compared to another replication of the procedure, there is a very good chance that the results would be extremely similar, making this lab quite reliable. On the contrary, this lab may not be the most valid because it not only measured the factor we set out to measure, but it also may have measured other factors as well. Specifically, this lab may have measured factors such as intensity of jumping, effectiveness of the test subject’s heart, etc. The ideal result of executing the lab perfectly step by step is that the only variable measured is the speed of the heart rate. Nonetheless, errors still occurred throughout the experiment, making it possible for the data to be skewed somehow. For example, there is the possibility that a subject may have jumped at different intensities than the other two subjects, making their hearts have to beat faster since they were working hard....

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