Sentence examples for model coefficients indicate from inspiring English sources

Positive model coefficients indicate less atrophy over time.

Model coefficients indicate that increasing total wealth is strongly correlated with higher proportional and absolute environmental impact, and increasing population size explains additional variance in absolute environmental impact (Fig. 4).

42 The model coefficients indicate the relative importance of each attribute level in explaining respondent choice.

The model coefficients indicate that incidence increased with age, year of birth and exposure to periodic mammography.

Model coefficients indicated a positive correlation with age, but surprisingly, a negative correlation with ADT.

Simultaneous autoregression model coefficients indicated that riparian condition had a negative influence on macrophyte cover, species richness and the proportions of alien taxa, emergent taxa and Poaceae present at sites in the Wet Tropics.

Model coefficients indicated higher expenditures for 2 or more smokers compared to one smoker for overall expenditures, inpatient expenditures, emergency department expenditures, and prescription drug expenditures, but none of the estimates were statistically significant.

However, the 95% confidence intervals (CI) for the model coefficient indicated Ne(ABC) could decrease by a maximum of 5.6% for each incremental increase in exposure of 1 ng/L E2Eq, or 65% at 11.6 ng/L E2Eq, equivalent to the most polluted river stretch included in this study.

The model regression coefficients indicate that the predictors with p-values < 0.05 are PM10 (p = 0.00003), the interaction between PM10 and wind (p = 0.00005), the interaction between PM10 and temperature (p = 0.0006), and soil moisture (p = 0.006).

The model regression coefficients indicate that the four predictors with p-values less than 0.05 are the interaction between temperature and PM10 (p = 0.0004), PM10 (p = 0.0047), wind speed (p = 0.029), and the interaction between soil moisture and temperature (p = 0.042).

In our previous model, stoichiometric coefficients indicating the relation between key precursors for biomass production and other general metabolites were not integers.