Sentence examples for Significant regressors from inspiring English sources

We then re-estimated the model including only significant regressors (β1, β2, β3), all of which remained significant at p<.01.

We included the three significant regressors from the analysis of the trembling hand data (stingy vs. fair outcome, generous vs. fair outcome, and stingy vs. fair intent).

For children, a stepwise procedure (SAS Institute Inc. 2004) was used to identify significant regressors.

The specification error tests (linktest) show that the models had good specification and that additional statistically significant regressors could only be found by chance (Table  4).

The within-group analyses of TM gave some support to the latter explanation as classical algesics were significant regressors in the regressions of PPT and pain intensity and the multivariate correlation analyses (PCA) indicated a diverse pattern from controls.

In this analysis NEE, SHF, Tair and VPD were identified as the most significant regressors (all p < 0.05), explaining 25% of the observed ln FCH4) variability over all years excluding snow periods (data not shown).

Our quantitative analysis supports this finding, with 100 150 Hz LFP power as a significant regressor.

Latent heat flux (LE) was a significant regressor towards the end of the vegetation period and during snow cover (Table 1).

Both the multivariate analysis at baseline and the analysis using all data identified [K+] (Table  3) as a significant regressor of group membership.

Both analytic approaches also provide weaker evidence for a relation between the fMRI and low frequency LFP power, with a trend to colocalization in the 8 15 Hz range and in the multiple linear regression analysis, 16 23 Hz range alone as a marginally significant regressor and the interaction of single neuron firing and 16 23 Hz power as a significant regressor.

The overall regression model was significant (F = 8.1, P < 0.0001) with a significant regressor effect for limbic AChE activity (F = 19.2, P < 0.0001) independent of significant effects for motor severity (F = 5.0, P = 0.03).