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5 item. Version. B. C. ↑ June 2, 2015 Version. (Inman et al., 2011) Using these results, we created the plot in Figure 1. For ease of viewing, the positive values of the original data (sum of the three plots) are plotted on the left side and the positive values of the simplified data (sum of the two plots) are plotted on the right side. From Figure 1, we can see that the original data closely resembles the relationship we predicted. For example, on days 12 and 24, the experimental data are almost identical to the predicted relationship. The results of this experiment strongly indicate that our model is accurate. Note that it is important that we use the predict data results to create the figure. This is because we want to compare the relationships for the experimental and predicted data. Using the predicted data, it is possible to back calculate the relationships from the starting, ending, and end-intermediate data for a given treatment. The relationships will closely resemble the experimental data for a given treatment, but will not exactly match. From this, it is possible to gain insight into which, if any, of the factors mentioned above are causing the differences. It is also possible to compare the relationships for the experimental and predicted data. For example, on days 12 and 24, it is apparent that the predicted data closely resemble the experimental data, but there are small differences in the relationships. These differences could be due to individual differences between the subjects. The next steps were to perform the same analysis using the five different data sets (we refer to these as the “Additional plots”). In addition, we attempted to perform a more sensitive analysis using the predict data. In the “Additional plots” section, there are five plots: (1) the experimental data and the predicted data; (2

 

 

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