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This value expresses what fraction of the variance of the data is explained by the fitted trend line.
This result proves that this multiple regression model fits the data and 35.4% of the variance in the data is explained by this model.
A value of 0.8 would mean that 80% of the variability in the original data is explained by the model, whereas an R2 value of 1.0 suggests that this is a perfect fit.
The R-square value indicates how much of the variation in the data is explained by the model.
BgPCAs of morphological shape and acoustic parameters showed that most variation in the data is explained by intraspecific variation.
Results for PC2 and PC3 suggest that more of the variation in the data is explained by differentiation within BS11 than within BS31.
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The percentage of variability in ants as explained by other sampling techniques was as follows: 60.0% of the variability in bait data was explained by pitfall trap data, while only 19.7% of the variability in pitfall trap data was explained by excavation data.
Our time-resolved data are explained by intrinsic Auger and radiative recombination mechanisms as well as defect-related recombination and trapping.
The spectroscopic data are explained by the presence of a vanadium species in distorted octahedral co-ordination, composed of two V O T bonds with the framework, one bond with the vanadyl oxygen and three water molecules as ligands.
All quantitative data were explained by analyst software.
Next, we have fully examined how the focal mechanism data are explained by the estimated stress.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com