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  • Essay / Relationship between the two variables and the trend formed by the data

    I have created a graph above showing the relationship between conductor wire resistance and different lengths of a Nichrome wire. My graph is a straight line graph with the majority of points located on the line of best fit. Using the points on the line, I applied Ohm's law and used the formula R = V ÷ I to find the resistance (R) with the voltage (V) and current (I) found previously when l 'experience. I came to the conclusion that as the length of the Nichrome wire increases, the resistance of the conductive wire also increases. For example, when the wire length is 0.2M, the resistance is 1.3Ω then the wire length is 0.5m, the resistance is 3.4Ω. Say no to plagiarism. Get a custom essay on “Why Violent Video Games Should Not Be Banned”?Get the original essayThe trend of the data can be concluded from the experiment is because the longer the nichrome wire, the higher the Resistance will be high, assuming the necessary resistance variables are controlled and the method is followed accurately. This is supported by the evidence presented in the table and graph, for example we can see the increase and positive correlation between length and resistance as the wire length increases from 0.2 to 0.3 and the resistance from 1.3 to 2.3 Ω. A formula can be derived from the graph and can be used to further explain the relationship between the two variables and the trend of the data, which is 6.8*x + 0.1. In conclusion, I think the results I got from my graph further represent and show the relationship between the two variables and the trend formed by the data, the data points were on or near the straight line of best fit, and those that did not touch or reach the line were consistent with the trend that followed the graph, and also showed no abnormal results. The range of lengths studied was sufficient to draw a valid conclusion on how changing the length of the nichrome wire would affect the strength. The best fitting gradient line from my other graph can be found using the "rise/run" formula which gives us an answer of 6.8. The gradient from the formula which can also be calculated by resistance/length is 6.8. To further investigate the reliability of our results, we can use this information and insert it into the resistance formula which is R = p(L/A), where R represents the resistance, I the length, A the cross section and P is the resistivity of the wire. Using the gradient we calculated, we notice that R/L which is equal to 6.8 is equal to p/A. A is the cross-sectional area, which can be found to be 0.0000001642 m2 using SWG (with gauge 26). This shows that our resistivity p would be 0.00000111656Ωm. According to information searched online, the average resistivity of a nichrome wire is between 0.00000110Ωm and 0.00000150Ωm. By comparing the two resistivity results obtained from the experiment and online figures, we can further discuss the reliability of our results. We can see that the resistivity calculated from the experiment is between the average resistivity range of a nichrome wire, so we can analyze the results to be reliable and further conclude that few or no errors were committed. The data trend that can be seen in my graph is consistent with the predictions made in my hypothesis. They correlated correctly when I stated: "I predict that the longer the wire, the greater the resistance will be, because the voltage is higher in a longer wire and the current remains the same."..