Sentence examples for variables demonstrated from inspiring English sources

Water quality variables demonstrated moderate levels of predictive power for biotic descriptors.

The remaining gait variables demonstrated nonsystematic or no age-related differences.

The illustrative variables demonstrated that oxidative stress was correlated with the two parameters used to calculate it, as might be expected.

Overall, the mean values of all variables demonstrated a stepwise improvement over the year as range of motion, grip strength consistently increased, and DASH and VAS scores consistently decreased.

The CCA ordination of the species and environmental variables demonstrated that NH4 +, fungi, and the pH of the media were correlated with the first CCA axis (r = −0.328, 0.183 and 0.339, respectively).

Stepwise linear regression using DLP as the dependent and BMI and total adipose tissue as independent variables demonstrated that total adipose tissue is more predictive of DLP than BMI [B (95% CI) = 16.045 (11.337-20.752), t=6.681, p < 0.001].

The NO3− and the δ15N- and δ18O-NO3− variables demonstrated limitation in developing a decision tree model as multiple N sources and fractionation processes both resulted in difficulties of discriminating NO3− concentrations and isotopic values.

Given that the TMAX and PRECIP variables had some of the stronger correlations with woody detritus carbon stocks, regressions conducted between all remaining dependant dead wood carbon stock variables and independent climatic variables demonstrated very weak relationships and did not contribute beyond correlation results.

Statistical analysis of experimental variables demonstrated there was no sensitivity to any of the remote oscillating units associated with each QCM (data not shown), thus irregular deposition appears to be originating from the dilution bar and the mixing of smoke within it.

In addition, the coefficients of the control variables demonstrate the predicted signs.

Comparing "calculated coefficient" values of variables demonstrates that the weight fraction of the polymer is the most influential factor on the fibers' diameter.