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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 model explained a large fraction of observed fallfish abundance class variation (R2 = 0.91) and predicted optimal habitat in relatively flat, low elevation, cool to warm streams associated with forested landscapes.
Results showed that our theoretical model explained a sufficient amount of the variance in loyalty; the hypothesized relationships in our research framework were generally supported; and cognitive, evaluative, and motivational processes were significant mediators.
Results showed that our theoretical model explained a sufficient amount of variance in overall quality of life; the hypothesized relationships in our research framework were generally supported; and customer emotion, satisfaction, and subjective well-being were significant mediators.
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.
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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].
The model explains a significant part of NEA (70%) and DEA (75%) variances.
A significant LRT P value indicates that the alternative model explains a greater proportion of the phenotypic variation and all markers in the model are relevant to disease.
Exposure to theories of finance, such as the capital asset pricing model, explains a good deal about Wall Street and the business world that would otherwise remain mysterious.
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CEO of Professional Science Editing for Scientists @ prosciediting.com