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Ms Rey estimates an interest-rate change can explain between 4% and 17% of variance in the VIX.
Further, there appears to have been behavioral responses to Prop 209, by universities and/or students, that explain between 23% and 64% of the graduation rate increase.
Outcomes of the spatial models could explain between 27%and70%0% of the variance of IMD, confirming the existence of a relationship between urban form and socio-economics across the six cities.
Even with the rather crude estimates of weather, climate, soil and nutrient deposition that were used, the strict shape of the growth curve, and the exclusion of the known good predictors age, latitude and altitude, we were able to explain between 10%and53%3% of the variation in diameter growth of individual trees of the main European tree species and species groups.
As an example, Rietveld et al. (2013b) point out that while twins' studies suggest that genetic factors may account for as much as 30 40% of the variance in subjective well-being measures, additive effects of genetic polymorphisms that are common in the population can only explain between 5 and 10% of the variation in these measures.
Overall, the variables in the model explain between 0.47% and 0.86% of total variance at stage 1 and between 0.06% and 0.80% of total variance at stage 2. For the sake of brevity, we report the parameter estimates of stages 1 and 2, the coefficients of determination, and X2 -test statistics for the entire model in the Additional file 1: Appendix.
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In an effort to explain between-effects variability, we examined mixed-effects regression models.
Moderator analysis was performed in an attempt to explain between-study differences in effects.
By using multilevel latent contextual models (Marsh et al. 2009), we aimed to explain between-class variation regarding students' habitual enjoyment of lessons (rather than intra-individual variations in transient, momentary emotional states) while controlling for the confounding effects of academic self-efficacy beliefs on enjoyment ratings at the student level of analysis.
Our aim was to identify potential socioeconomic determinants of pandemic mortality and explain between-country variation.
The objectives of this ecological study were to identify potential, country-level, socioeconomic determinants of pandemic A (H1N1) 2009 mortality and explain between-country variation, based on data from a total of 30 countries of the European Union (EU) and the European Free Trade Area (EFTA) on which we have complete data on variables of interest.
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