Global Journal of Science Frontier Research, A: Physics and Space Science, Volume 22 Issue 1

b) Data processing Figure 5 presents the behaviour of the observed data with its respective trend line, or the line that best represents the data set. Thus, the graph shows an approximately linear increase in voltage to which the nut falls with increasing temperature. Also, the line of best fit indicates that when the temperature increases by 10 K, for example, the voltage value increases by 3.02 V; whereas the minimum voltage necessary so that the nut does not fall at a temperature of 0 K is - 6.99. On the other hand, the coefficient of determination, also known as R squared, is a statistical measurement that formalizes the evaluation of linear regression models; that is, R squared indicates how well the variation of the dependent variable can be predicted from the independent variable and its value ranges from 0% to 100%. According to the least-squares method, the line of best fit is the one that has the minimum sum of the squared residuals, which are the deviations between the observed data and the points on the line of best fit. For this reason, the regression curve with the smallest sum of squared residuals will have a larger R squared (Sundery, 2021). For this graph, the calculation of said coefficient was carried out with the regression functions available in the Excel program and the result obtained shows that the model can explain 69% of the voltage variation. It should be noted that the coefficient of determination may not be ideal due to the variability of the phenomenon and the sources of error, which affect the precision of the model, although it does show a significant trend in the data. Regarding the error bars, the uncertainties calculated in section 5.2 were used. In order to find a model that better fits the data, logarithmic linearization was applied, which consists of applying logarithms to the two axes of the graphs 6 and 7. Figure 5: Scatter diagram for the relationship between voltage and temperature Figure 6: Scatter plot for the relationship between log [V] and temperature Relationship between Temperature and the Holding Force of an Electromagnet in a Changing Magnetic Field © 2022 Global Journals 1 Year 2022 20 Global Journal of Science Frontier Research Volume XXII Issue ersion I VI ( A )