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"Walter demonstrated that the variance in the rate of molecular evolution was statistically larger than expected under the theory of the molecular clock and, thus, the underlying assumption of "neutral" replacements in DNA or proteins was not correct.
The study showed that most of the variance in the rate of adoption of innovations, from 49 to 87%, is explained by only five attribute categories: (1) relative advantage, (2) compatibility, (3) complexity, (4) trialability, and (5) observability (Rogers 2003, p.222).
Variance in the rate of seedling deaths in response to growth and symptom data measured within the field study was likewise modeled using a GLMM.
The perceived attributes of the innovation, including relative advantage, compatibility, complexity, trialability, and observability can, according to Rogers, explain between 49%to87%7% of the variance in the rate of adoption [ 19].
Moreover, translation efficiency is uncorrelated with mRNA abundance (r = 8.29 × 10−5; Figure 1E) and mRNA abundance predicts only one third of the variance in the rate of protein production as measured by ribosome footprint density.
When considered together in a single model, the neuropathology in the study explained 8% of the variance in the rate of progression of frailty, after accounting for demographic variables.
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The etiology of both low birth weight and preterm delivery is complex and no single factor explains most of the variance in the rates of these birth outcomes.
There was high variance in the rates of abstinence between studies.
Both Cronbach's α and the ICC are also equal to the value yielded by two-way ANOVA without repeated experiment using the following formula: (2) ICC = A / A + B where A is the true variance in the rating of an item, and B is the error variance in the rating, which is attributable to inter-rater unreliability [ 28, 32, 33].
Some variances in the rating of the critical QMS implementation issues among different size hospitals were detected, but they are not statistically significant.
Differences in the initial levels of additive and phenotypic variance, and differences in the rate of change of each variance component, results in systematic differences in the average trait heritability in a constant environment.
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