Sentence examples for explanatory variance from inspiring English sources
A one-factor model, accounted for 74.8% of the explanatory variance, was retained.
However, there was limited explanatory variance in this variable, i.e., over 75% of participants were given the same dose of the medication.
The high Cronbach's alpha score (.921) confirms the internal consistency of this dimension and the explanatory variance indicates that the model is empirically relevant, accounting for 68% of variation in the scores for the seven indicators included in the model, across these 29 European states.
The addition of the five items provided additional explanatory variance over and above EUROHIS-QOL.
Further, GWAS frequently fail to implicate previously-validated gene regions described in candidate gene associations for the same disease, and in most cases offer less than 10% of the explanatory variance for the disease etiology [ 9- 13].
The remaining 23 ecoregions were inhabited by individuals belonging to more than one haplogroup and hence comprises the 15% difference in explanatory molecular variance between the Olson model and the CR data.
Leg muscle volume should be correlated with lean body mass, which explained that lean body mass was the most important explanatory variable of the variance of Pmax (72%) in obese and nonobese adolescents [ 80].
Consistent with previous studies, sleep disturbance and psychomotor retardation possessed significant explanatory power for variance in NK cell number and NKCA, respectively.
We checked the multicollinearity among the explanatory variables using variance inflation factor (VIF).
No strong collinearity was seen among the explanatory variables (each variance inflation factor [VIF]<2). Figure 1 shows the Lorenz curves and Gini indices of physician distribution against three indicators assumed to represent community attractiveness: population, daytime population and service industry population.
When the explanatory variable had the same variance in those with and without the condition, we demonstrated that the model c-statistic is an increasing function of the standard deviation of the normal distributions and of the log-odds ratio.
