A beneficial change in cholesterol, triglyceride, or LDL cholesterol is indicated by a negative regression coefficient, whereas higher levels of HDL cholesterol, indicated by a positive regression coefficient, are desirable for cardiovascular disease risk, although this may not be the case for cancer.
More working experience can also increase individual income, but this effect is marginally diminishing as indicated by a negative regression coefficient for its square term.
In this case, regression coefficients do not reach significance levels but the signs of the coefficients of all variables indicate a negative impact of consolidation on job finding rates, irrespective how consolidation is measured.
In the case of the frequency of the instructional mode, on a scale from 1 (very frequent) to 4 (never), a negative regression coefficient indicates a positive association with the average achievement score of the school.
The Iortho has a negative regression coefficient, indicating an increased acidity for ortho-substituted compounds.
Likewise, a negative sign indicates a negative coefficient on the regression coefficient, and NS indicates lack of significance at the 0.05 level.
A negative regression coefficient represents a decrease or improvement in A1C over time and a positive regression coefficient indicates an increase or worsening in A1C over time.
Multiple regression analysis indicated a negative relationship between maternal licking/grooming and fearfulness in males and a positive relationship between nest site attendance and fearfulness in females.
A linear regression model indicates a negative relation between s i and z i ( 1 ) and a positive relation between s i and N p (see discussion in text).
Positive value of regression coefficients indicated positive correlation between SNR and hit rate, while a negative value of the regression coefficients indicated a negative correlation between SNR and hit rate.
*IES, impact of event scale; B, estimate of regression coefficient (a negative estimate indicates a negative association of the independent variable with the dependent variable); R, proportion of variance in the dependent variable accounted for by the model.
