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R-squared values of the observations from the settling experiments with the Stokes' law estimation are 0.87 and 0.88 for G. lamblia and C. parvum, respectively.
R-squared values of all three regression models were >0.99.
R-squared values of the approximations were greater than 0.995.
R-squared values were not calculated for the ordinal or dichotomous variables.
R-squared values were 0.99 for both tests, at the IGF2 and the H19 DMRs.
R-squared values range from 0.77 to 0.86 which are higher than in either of the previous cases.
R-squared values obtained were 0.664, 0.727, 0.906, and 0.926 for PIunivariate and 3, 4, and 5 cytokines PImultivariate, respectively.
R-squared values for the concentration correlations between glucose and hemoglobin are 0.991 and 0.0135 for conditions (1) and (2), respectively.
R-squared values for all estimates of the amount of variance among individuals were estimated as the square of the Pearson correlation coefficient reported by SAS/JMP.
R-squared values and primer efficiencies were calculated using Bio-Rad CFX Manager based on the results of a two-step qPCR program.
The parameters of the least-squares fits for five different (accumulated) probability distribution functions and the corresponding R-squared values are shown for each distribution.
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