Examples of using Regression model in English and their translations into Spanish
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is used to refer to an estimator for the coefficients in the regression model including those fixed effects one time-invariant intercept for each subject.
For this study I have designed a regression model which attempts to uncover the predictors for individual support for the institutions of the rule of law in Latin America
However, a large number of observations are required to adjust the regression model, as well as highly specialised knowledge of the product so,
in the sense that the regression model could change according to the values taken by the continuous variable,
Because a regression model based on more homogeneous data may provide more precise results,
The first study employs a reduced-form regression model with inputs from three urban air pollution indicators, thereby linking changes in
The figure presents the coefficient of skin tone in a separate linear regression model for each country, controlling for education,
One of the more common small area models in use today is the'nested area unit level regression model', first used in 1988 to model corn
Population stratum and support for the system Although location of residence was not a significant factor in the regression model, it was a significant factor associated with support for the system in the bivariate analysis.
tolerance Although place of residence is found to be non-significant in the regression model, this factor was a significant factor related to tolerance in the bivariate analysis.
the factors that the regression model cannot explain about the dependent variable given the information available.
The krill TS model currently endorsed by CCAMLR is that of Greene et al.(1991), which is an empirically-derived linear regression model relating TS to log-length log10L.
Organic carbon amounts will be monitored over large areas by extracting soil-derived spectra by linear spectral non-mixing classical limit and producing a regression model to combine spectrum measurements with field survey data.
we designed a liner regression model that includes the above-mentioned socio-demographic variables, as well as
The regression model we use to analyze trust in institutions has been carefully studied
A regression model enables the amounts claimed by any one claimant for each item
we found that the regression model is statistically significant in explaining the variation in the values of the weekly sales variable,
By employing the regression model, three variables- type of trial court or vara,
Alok Bhargava developed several von Neumann-Durbin-Watson type test statistics for the null hypothesis that the errors on a regression model follow a process with a unit root against the alternative hypothesis that the errors follow a stationary first order autoregression Sargan
SSMUs using a regression model and data submitted in accordance with the Catch and Effort Reporting System