Examples of using Multiple regression in English and their translations into Spanish
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In the following chapter, the statistically significant findings for multiple regression analysis are discussed, after which the findings of the bivariate analysis carried out for a set of sociodemographic variables on attitudes
One feature identified in the multiple regression analysis is that the assessment of those interviewed with respect to government economic performance is associated with support for stable democracy.
A more complete list of the variables entered into a multiple regression equation producing the results above can be found in Regression IV.2 in the Technical Appendix to this chapter.
satisfaction with treatment received in municipalities In the bivariate analysis and multiple regression, it was found that the perception of insecurity is a factor associated with citizen satisfaction with treatment received in municipal offices.
It is worth noting that the results of this multiple regression analysis indicate that being the victim of a crime is not a significant factor when we hold the other variables constant.
The multiple regression analysis tells us that the important factors to understand the public's evaluation of the current government's efficacy addressing various problems are income,
the analysis was extended to include multiple regression models.
The Political Culture of Democracy in Mexico, Central America, and Colombia, 2004: El Salvador 29 pages report first on the statistically significant findings in order to conduct multiple regression and then report on the findings that correspond to the bivariate analysis carried out with respect to a collection of socio-demographic variables about attitudes and evaluations of national reality.
Multiple regression analysis with the parameters surface elevation,
In Nicaragua, the multiple regression analysis reveals that there are three predictors of support for the system: trust in the
developing a multiple regression model that includes variables based on many of the most frequently cited reasons for low trust,
Table VII.9(see Appendix B) presents the results of the multiple regression analysis with the statistically significant predictors of support for reconfiguring electoral districts in order to vote for one deputy per district instead of a list of deputies per party.
in the Pacific but that variance in foraging trip duration due to physical variables in multiple regression models was greater when ENSO was present in combination with the sea-ice index.
low-intensity metric component using solar metric radio emission data on the basis of stepwise multiple regression analysis with analysis of variance.
satellite observations, following the step-by-step multiple regression method with variation analysis in the preparation of the material.
Multiple regressions were used for the analysis.
We performed nonparametric statistics and multiple regressions.
The multiple regressions indicated that there exists a relation between the CI
We could try multiple regressions with varying physical and experimental constants.
variance analysis, and multiple regressions.