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The results indicated that the models based on the fruit width, third projected area and assumed oblate spheroid volume have the highest determination coefficient (R2) and the lowest standard error of estimate (SEE).
It was shown that existing models can predict the properties in the studied porosity range quite accurately, with the exponential model having the highest determination coefficient among all the models for both relations.
The chr. 17 has the highest determination coefficient between multifractality and Alu content with chromosome Y having the lowest.
In summary, this analysis showed the highest determination coefficients between the PVBC indices and ΔPes/ΔPtp when the PVBC was calculated using an average of five assisted breaths with EAdipk,no-assist/EAdipk,assist within the 0.77 to 1.30 range.
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A high determination coefficient R2 of 99.3% was obtained.
All the regression models yielded a good fit with high determination coefficient and F value.
The corresponding parameters were estimated by multiple linear regression (MLR) and high determination coefficients (higher than 0.98) were obtained.
The checking of fitting goodness of improved interaction parameter C value shows a high determination coefficient.
The quadratic model obtained fits well to predict the response with a high determination coefficient of R2 (0.995).
The high determination coefficient (R2 = 98.98%) and the low probability value (Pr < 0.0001) proved that the model matched the experimental data, and had a high predictive ability.
All the multivariate regression models revealed high determination coefficients for three parameters, among which the response surface regression model yielded the highest values.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com