Sentence examples for regression information from inspiring English sources

It is believed that the strong correlations between the various speech related acoustical parameters and the regression information obtained in the present study can help the estimation of the speech quality of the classrooms in the design stage.

Health outcome was statistically significant in only one regression, information at discharge.

Due to the implicity of the PLS regression, information of both the analyte of interest and other interferential components are usually included into the model.

To remove these items/countries again, press the - key. · If you want to see the underlying numbers of your chart, press: i) the letter A and you will see the annual data with some statistics; or ii) the letter T and you will see the regression information, including the functional type (the latter will only work if you have opted for a TREND LINE).

The qualitative development work identified the importance of other safety-related experiences for patients' feeling of safety in hospitals, and these were also included as predictors in the regression: information (scale, three items), doctor services (scale, seven items), nursing services (scale, seven items) and organisation (three items).

A variety of gene network reconstruction methods based on gene expression data have been developed, e.g., regression, mutual information, correlation Bayesian network, meta predicators, and others (Marbach et al. 2012).

We surveyed 137 points in riparian vegetation along an urbanization gradient, and used logistic regression and information theory to select best supported models describing the distribution of each of 52 bird species.

Or, from an infinite regression of information leaking from previous universes.

To avoid running a regression where information on the dependent variable (collected for the entire year) precedes the recording of the explanatory variables (collected in October), all explanatory variables in Eqs.

The approach to model building for prediction in survival analysis was based on the combination of stepwise regression, Akaike information criteria (AIC), and the best subset selection: Stepwise-AIC-Best Subsets approach.

This factor was obtained using linear regression and information about the known spike concentrations per cell.