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The advisors measure the customers to ensure a perfect fit, show them swaths of fabric, and help them select a few options.
Measures of incremental fit show the improvement of the proposed model compared with a baseline model.
The lines of best fit show a linear relationship between fullness and gastric volume for both the high-carbohydrate meal (R=0.97, P=0.0026) and the high-fat meal (R=0.99, P=0.0002).
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It promises a good fit, shows at most one card in the splinter suit and suggests a slam.
After only 10 minutes of exercise, even the least fit showed evidence that their bodies were burning fat; the more fit, the more metabolic evidence of fat burning.
Quantile-quantile plot for the fit shown in (10)Quantile-quantile plot for the fit shown in (12).
The fit shows a quadratic dependence of Γ on the hole density.
Thus, the non-significant value for the lack of fit showed that the model was valid for further analysis.
These values have been obtained from a Gaussian fit (showed as dashed red lines in the 1D conductance histograms).
An insignificant value for the lack of fit showed that the quadratic model was valid for the present study.
Also, test of 'lack of fit' shows insignificant effect, which is desirable for selecting the models (Kansal et al. 2005).
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com