Sentence examples for regression regarding from inspiring English sources

In the first moment, the data was tested and it was verified that they met up to all requirements so as to execute the regression, regarding the normal distribution and multi-colinearity of the variables, wherein the levels of tolerance were around 0.80 and the variance inflation factor (VIF) around 1.00.

We evaluated a novel algorithm based on trigonometric regression regarding its ability to map dynamic changes in BRS and autonomic tone during cardiovascular provocation in relation to gender and age.

Data of two population-based-birth-cohorts in the Netherlands and Germany (KOALA, LISA) were pooled (n = 879) and analyzed by (logistic) regression regarding the mutual influence of single-nucleotide-polymorphisms (SNPs) in the FADS-gene-cluster (rs174545, rs174546, rs174556, rs174561, rs3834458), on polyunsaturated fatty acids (PUFA) in blood and parent-reported eczema until the age of 2 years.

The Cox regression regarding progression could not be made because no significant differences were found in KMc.

In addition we performed a logistic regression regarding the presence of DSPN and different variables: total cholesterol, HDL cholesterol, LDL cholesterol, triglycerides, blood urea nitrogen and creatinine serum level, HbA1c, presence of microalbuminuria, age, duration of disease, GSTM1, GSTT1, and GSTP1 polymorphisms, and insulin treatment.

However, there were marginal trends in both ANOVA analysis and post-hoc regressions regarding B. dendrobatidis infection rates and liver somatic index in relation to measured exposure estimates.

To assess the risk factors where dermatologists recommended further management even though the clinical diagnosis was benign, we created a multiple regression model.> -wrap-foot>> -wrap-foot> Multiple logistic regression analysis regarding influential factors concerning clinical malignancy.

The proposed neural network model showed a better performance than regression analysis regarding the maximum estimation error and root mean square error.

The correlation coefficient (R2) of the regression models, regarding the bake hardening and final yield stress (FYS), was about 0.99 and 0.976, respectively which confirming the excellent accuracy of the model.

A similar non-significant result is shown for the logistic regression model regarding MA.

The validity of the proposed methods was evaluated by statistical analysis of the regression data regarding the standard deviation of the residual (Sy/x), the standard deviation of the intercept (Sa), and standard deviation of the slope (Sb) [35].