Sentence examples for multiple regression coefficient from inspiring English sources

Multiple regression coefficient R and coefficient R of the model were also determined.

Furthermore, utilizing the results of multivariate regression, we allocated marks in proportion to the magnitude of the multiple regression coefficient of each variable so that each symptom was allocated different marks proportional to the positive multiple regression coefficient.

F-value < 2.000 as a criterion for removal, multiple regression coefficient and the p value are shown.

The multiple regression coefficient (R ) from the model could also be used to investigate the maintenance of exercise of the subject along the 12-week intervention study.

In the case of this model, multiple regression coefficient R had a value of 0.9652 illustrating a very good correlation between the experimental and predicted values (Table 5).

Achievement of ASAS20 response was not significantly associated with change from baseline in ASspiMRI-a score (multiple regression coefficient (R)=0.62, p=0.17; data not shown).

error of the estimate Equation 5 0.881 0.776 0.774 2.7629 Table 4 ANOVA table Model Sum of squares df Mean square F Sig. Equation 5 Regression 25506.452 6 4251.075 556.872 0.000 Residual 7374.302 966 7.634     Total 32880.754 972       Table 5 Multiple regression coefficients Model Unstandardized coefficients Standardized coefficients t Sig.

Multiple regression coefficients were employed by applying the least-squares technology [33] to predict the linear, quadratic polynomial models and also interactive effects between tested parameters for response function.

gives the multiple regression coefficients for housekeeping genes on Ct means of target genes.

Intercorrelations among toxicants were assessed because high intercorrelations can render the interpretation of multiple regression coefficients problematic.

Beta weights (standardized multiple regression coefficients) and uniqueness indices were subsequently reviewed to assess the relative importance of these variables in the prediction of NEAP.