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Logistic and linear multiple regression analysis will be used to assess the overall predictive power of the predictor variables (theoretical constructs) within each survey.
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We use the POV calculated in this manner to measure the predictive power of the individual predictors.
The curves in the subpanels represent the trends of the total predictive power (black) and the predictive power of the five predictors (colors) obtained using staged regression across the range of scales.
The correlation, achieved with the optimal number of latent variables, is referred to, in this work, as the predictive power of the considered set of predictors for the response of interest.
The predictive power of the univariate logistic regression models with continuous predictors was assessed by receiver operating characteristic (ROC) analysis.
Hierarchical multiple linear regressions showed that prior performance replaces the pre-admission predictors and increases the predictive power of the model for the clinical years.
Even the addition of past behaviour as a potential predictor of intentions did not improve the predictive power of the model.
On multivariate analysis, only body mass index (P = 0.003) and helplessness score (P = 0.04) were independent predictors of protocol deviations although the predictive power of the model was not strong (R 2 = 0.17).
Using multivariate analysis, BMI (β, 95% CI 0.78 (0.28 to 1.27), P = 0.003) and helplessness (β, 95% CI 0.77 (0.03 to 1.50), P = 0.04) remained independent predictors of protocol deviations, but the predictive power of the model was not strong (R = 0.17).
We examined 15 facial characteristics to identify the strongest predictor of normal and viscerally obese subjects and assessed the predictive power of the combined characteristics.
But because of the difference of predictive power in the two testcross populations, which depends clearly on the different predictive power of the biomass variable itself, the latter is - though a strong - but not a steady predictor for heterosis according to different accessions.
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