Sentence examples for model variables explained from inspiring English sources

When considered jointly, all model variables explained 47% of the variation in overall QOL [ 15].

The model variables explained a large part of the variation of smoking prevalence among males (R = 0.8).

When kit activity was dichotomized from 5 levels to 2 (intention vs action) and entered into a saturated logistic regression model, QoL variables explained from 4.6%to6.8%8% of the variance (P ≤ .001).001

A model including both variables explained 41% of the variation in NIH funding levels.

A model incorporating both variables explained 68% of variation in PFC (R2 = 0.682).

In the context of depression, the first model (socio-demographic variables) explained 7.1% of the variance in depression scores (F (4,1950) = 38.464, p <.0001).

In children, comorbidity (p < .01), serious mental illness (p < .01), addiction (p < .03) and pregnancy (p < .01) were associated with log cost; the model with those variables explained 6% of the variance in costs.

Regression models with radiological variables explained about 26percentt of the variance in local peak pressures.

The regression models with clinical variables explained more variance for the medial forefoot and the hallux than for the lateral forefoot.

In these age and sex adjusted models, early life variables explained 10.8% to 67% of the variation in the health outcomes.

Statistical models containing anthropometric variables explained up to 8% of the variance in dense area, but explained up to 49% of the variance in non-dense area and 43% of variance in total area.