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This implied that the vertical pattern predicted by the model explained an additional 27.8%% of the variation.
The regression model explained an estimated 27.4% of the variance in HSCL-25 scores (R squared = 0.274) amongst Iraqi refugees [F (5,123) = 9.22, p = ≤ 0.001].
Original state/trait ratio scale has undergone logarithmic transformation This regression model explained an estimated 42.8% of the variance in HSCL-25 scores (adjusted R squared = 0.428) amongst Iraqi TPV refugees [F (7, 60) = 8.17, p ≤ 0.001].
Age and BMI accounted for 28% of the variation in percentage mammographic density (R2 = 0.28); inclusion of SNP 9 in this model explained an additional 1% of variation (R2 = 0.29).
Further, this model explained an additional 4.3% of the variance in HbA1c (Δ R= 0.043, P = 0.001, total adjusted R=0.24), which indicated that chronotype contributed significantly to the model's explanation of the variance of HbA1c above and beyond demographic and sleep variables.
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The MRM model explained a significant proportion of the variability in total phylogenetic community structure, with most of the environmental parameters in both land-use types (Table 3).
Our findings demonstrated that the proposed model explained a large amount of the variance of purchase intention, invariant across different subgroups.
The effect size was 0.936, which indicates that the full model explained a substantial portion of 93.6 %, of the variance shared between the variable sets.
We demonstrated that a polynomial scale-invariant model explained a high proportion of MGB neurons' adaptation to the standard stimulus.
Our model explained a moderate amount of variance (34%, p <.001) in Physician Success/Self Efficacy.
Overall, the final model explained a remarkable 69% of the variation in fecal calprotectin concentration (Supplementary Table S8).
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