Sentence examples for sample and regression from inspiring English sources

Complementing the picture, AAD is positively associated with the amount of deep-reasoning questions a student poses, even though this finding is confined to the present sample and regression coefficients are small after controlling for other potential influences.

As documented in Table 5, columns (2) and (3), this does in fact change the estimated effect of the cross-border minimum wage in DLR's placebo sample and regression, relative to the estimates in column (1), which come from their paper.

Descriptive statistics, ANOVA, and Pearson's correlation (r) were used to describe the sample and regression analysis to investigate the association between the predictive psychosocial factors.

In reality, both the characteristics of the sample and regression findings are negligibly affected by the restriction of sample size, as further discussed in Results.

To emphasize these points we analyzed six datasets consisting of force and kinematic trajectories in one-sample, paired, two-sample and regression designs.

Stratified sampling and regression estimators can be applied as two-phase sampling for stratification and two-phase sampling with regression estimators.

Residuals were spatially autocorrelated only for the Jan . 2004sampling and regression kriging was used to combine the kriged residuals with tree-based trend estimates for this event.

Especially considering the potential for this form of uncertainty to introduce bias, it is likely more important than the combined uncertainty introduced via measurement, sampling, and regression.

When used in conjunction with sampling and regression equation development, this system measured significant treatment differences in growth for total biomass and volume in stands that only grew from 1.2 to 2.7 mm in basal diameter per year.

Limits of detection (established as S/N of 3.3, based on blank samples and regression curves) for As, Hg, Pb and Cd calculated as follow: 1000, 20, 600, 10 ng/kg, respectively.

When remote sensing costs are assumed to be 1 US$/ha, stratified sampling and regression estimators can no longer compete with the other design alternatives (Figure 4F, Figure 7F).