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According the authors - who use multiple regressions to compare every country's performances, based on the population, wealth and experience - England actually perform slightly better than you might expect.
Landscape metrics, LULCC proportion, and other human impact variables were examined using Monte Carlo permuted multiple regressions to develop relationships for bird richness groups.
Use of SEM is recommended as it uses both factor analysis and multiple regressions to find out interrelated relationships of variables (Hair et al. 2006).
This study used a geographic information system (GIS), inequality measures, and multiple regressions to analyze statistics from the Public Libraries Survey PLSS) collected by the National Center for Education Statistics (NCES) and from census tract data.
The values of the factors and responses were exposed to multiple regressions to derive a second-order polynomial equation used to predict the values of optimized dependent variables (responses).
Structural equation modelling is a multivariate technique that combines factor analysis and multiple regressions to simultaneously examine a series of interrelated dependence relationships among measured variables and latent variables as well as several latent constructs (Hair et al., 2009).
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This was done by calculating multiple regression to a dummy variable (i.e. the survey number).
We use multiple regression to rank them from 1,700 down to one.
A path analysis was conducted using multiple regression to evaluate relationships proposed in the model.
RegEM's processing time is increasing as the number of available measurements increase due to the inner mechanics of the algorithm which require multiple regression to take place.
The obtained PDE and PS were subjected to multiple regression to yield second-order polynomial equations (Eqs. 4 and 5, for PDE and PS, respectively).
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