Sentence examples for model only explains from inspiring English sources

In other words the linear model only explains 29% of the load variability.

Although significant, the model only explains 6% of the variance (R2 = 0.06) and Figure 4 shows how the variables are the observed values and the poor contribution of the model.

which could influence specialists' attitude toward PrEP in higher proportions than the professional characteristics tested in the model [ 33, 34]; indeed, the multivariate model only explains 17.2% of the variance.

Even though our model only explains a small amount of plantar-flexion variability, it may be useful in evaluating strength deficit for this function as, to our knowledge, no other model has been established.

When we considered this variable together with the seven variables described above it improved the goodness of fit of the overall model, suggesting that this influences whether urban climate change experimentation is likely to occur and/or be more visible (although this comment should be taken with caution, considering that the model only explains 63% of observed values).

Since these analyses indicate that a low probability of diploid male survival is unlikely in C. rubecula, they indirectly support a multilocus model because the single-locus CSD model only explains our data if diploid male survival is low (s = 0.19, Fig. S2).

The regional model only explained 13% of the variation in pine seedling density.

Hence, the empirical model only explained the relationship between food prices and agricultural, energy and labour commodity.

The biofilm model only explained a portion of the MFC process, while this paper presents a model describing the entire process of a single-chambered MFC.

The introduction of built environment characteristics in the final regression model only explained an additional 4% of the variance in driving to school.

In both models, the only variable selected was the interaction term between military experience and business experience where the R-squared of the regression model was 0.1 (meaning the model only explained about 10% of the variability in presidential performance).