Sentence examples for models explained approximately from inspiring English sources

In our analysis of the impact of cost on gene expression, multivariate regression models explained approximately 40% of variation in transcript and protein levels (Table 2).

The results of the multivariate analyses of the main effects are depicted in Table 3. Overall, the final logistic models explained approximately 18 %, 14, and 11% of the vandance in mood disorders, suicide attempts and anxiety disorders, respectively.

The models explained approximately 29% of the all-cause and around 8% of the variance in condition-specific standardised mortality rates.

Models explained approximately 30% of the variance for the difference of in-vehicle travel time measured by self-reported vs. GPS method (Table  4).

Both ICD-9 and ICD-10 models explained approximately 20percentt of the variation in mortality, as shown by the R-squares in Table 6.

Current models explained approximately a quarter of the variance in physical and psychological impairment reported by participants, with demographic indices, cardiovascular and affective conditions and other health indicators accounting for most of the model variance.

With different coefficient values over space, GWR models explain approximately up to 62% of the variation in TS and Tmax.

The soil temperature univariate model explained approximately 60% of the variations in soil respiration (Table 2).

Krueger and Brazeal (1994) confirms that three components of this model explained approximately 50percentt of the variance in entrepreneurial intentions.

Also, the other model explained approximately 43 % of the variability in the 85th-percentile outside lane operating speeds.

This model presented a residual standard error equal to 0.0392 on 104 degrees of freedom, the coefficient standard error was 0.00347, and the R2 was 0.975, which means the factors and interactions in the model explained approximately 98% of the variation in y ∗ ̂.