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Multiple determination coefficients (Ry.123) and adjusted multiple determination coefficients (adj-Ry.123) were also calculated to evaluate and compare the explanatory capacity of the BCSQ-36 and BCSQ-12.
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Based on the results of analysis of variance (ANOVA), a multiple determination coefficient of 0.8 and 0.99 were obtained for both RSM and ANN respectively.
The standardized regression coefficients, the Pearson correlation coefficients as well as the coefficient of multiple determination R2 are discussed.
It is also being referred to as the coefficient of determination, or the coefficient of multiple determination for multiple regression.
A series of models were constructed using these covariates, with the optimal model determined by the adjusted coefficient of multiple determination Ra (adjusted R-square) criterion.
Copper and Zn bioavailabilities were estimated through satisfactorily fitted multiple linear regression models, with determination coefficients from 0.77 to 0.99, which showed a positive contribution of the labile metal forms in soils, especially in relation to Zn in both plant species.
One-way ANOVA statistical F-tests, coefficients of multiple determination (R and R adjusted) and fitting root-mean-square error (RMSEF) were calculated on the basis of total, model and error sum of squares (SS) resulting from the distances illustrated in Figure 9.
Value of coefficient of multiple determination are achieved.
They used the R 2 (coefficient of multiple determination) and the adjusted R 2 to evaluate the accuracy of their forecasting model.
According to analysis of variance (ANOVA) the coefficient of multiple determination of 0.841 was obtained for RSM and 0.974 for ANN.
Across all scales, results demonstrated that only 4 of 26 species had a significant coefficient of multiple determination >0.5 between average bird counts and land use.
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