Sentence examples for best explain the variability from inspiring English sources

Exact(5)

Also shown are the first five variables (explained variability in %) that could best explain the variability in ANC, TP, and TOC, using RDA and stepwise forward selection with the order of selection shown in parentheses.

Applying QFA to the combined data from these sites, we find that either five or six factors best explain the variability of the data (Table 2, Fig. 17).

This analysis reduces the complexity of the data and facilitates their interpretation by finding combinations of genes that best explain the variability in the entire data set [ 28].

However, lesion size had an overwhelming effect and when model selection was applied it was found that age and lesion size could best explain the variability in our data.

The first one was to find among available biomarkers those that could best explain the variability in disease progression, described in this model by DOT and α parameters, and the second aim was to identify biomarkers that could allow the discrimination between slow and fast MCI progressers.

Similar(54)

Total daily dose correlated highly with the variable that best explained the variability of oxycodone serum concentrations.

The two variables that best explained the variability in visitation rates and seed set were the amount of green areas (gardens, parks, grasslands) in the surroundings and the abundance of T. repens in the lawns.

CCA was chosen as our model because it determines a set of canonical variates, orthogonal linear combinations of the variables within each set that best explains the variability both within and between sets.

A factor analysis was performed to identify the factors that best explained the variability within the BDI items.

We found that variables specific to traffic congestion and volume best explained the spatial variability of benzene, with traffic volume indicated through total road lengths around monitoring sites and indicators of traffic density and congestion represented by traffic signal density.

The ELUMO was the best descriptor to explain the variability in the reactivity data for the reduction of six nitroaromatics (r = 0.990; Table S9) and 12 chlorinated aliphatics (r = 0.832; Table S9; Colón et al., 2006; Scherer et al., 1998).

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