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Figure 6


Fig. 6. Plots illustrating analysis of data from Experiment 16 on Capra eating hay. (A) Bivariate plot of {epsilon}2 magnitude in microstrain (µ{epsilon}) against loading time (in s). (B) Bivariate plot of {epsilon}2 magnitude in microstrain (µ{epsilon}) against loading rate in µ{epsilon} s–1. Regression equation of {epsilon}2 magnitude against loading rate in µ{epsilon} s–1: {epsilon}2 magnitude=–117.07+0.11x{epsilon}2 load rate. (C,D) Partial regression plots from multiple regression of {epsilon}2 magnitude in microstrain (µ{epsilon}) against loading time (in s) and loading rate in µ{epsilon} s–1. (E) Plot of residual {epsilon}2 magnitude (i.e. variance not explained by the regression in B) against load time (s). (F) Bivariate plot of loading rate in µ{epsilon} s–1, against loading time (in s). There is not a significant correlation between strain magnitude and loading time (A), but there is a significant correlation between strain magnitude and loading rate (B). Partial regression plots illustrate relationship between dependent variable ({epsilon}2 magnitude) and one independent variable, while holding the other variable constant. These partial regression plots suggest close relationships between strain magnitude and each independent variable when controlling for the other because, as quantified here, strain magnitude must be nearly completely explained by a combination of load rate and load time. (F) Increases in loading rate are accompanied by increases in loading time, reinforcing the conclusion that load time and load rate are both strategies employed to increase strain magnitude. However, examination of bivariate plots A and B reveals that load time explains little of the variance in strain magnitude. Once the effect of strain rate is accounted for, there is a weak relationship between residual strain magnitude and load time, as illustrated in E, with load time explaining much less of the variance in strain magnitude than load rate. The data from this experiment consist of two separate chewing sequences. The data from the two sequences are indicated by separate symbols, showing that the effects revealed across the whole experiment also obtain within chewing sequences.





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