Examples of using Regression analyses in English and their translations into Spanish
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multivariate analyses as well as the regression analyses in the study take into account the design effect of the sample.
or make regression analyses to estimate the magnitude of the causal relation between certain key variables for conflict development and project the possible future behavior of these variables.
While the study notes that mission complexity was highlighted in interviews as a major driver of higher support account staffing levels, the regression analyses did not identify the fact that the explicit inclusion of aspects of mission complexity resulted in a better explanation of staffing levels.
The Working Group welcomed the use of the inverse variance weighting in the regression as an appropriate method to account for the different levels of uncertainty in the biomass estimates used in the regression analyses, although the Working Group noted that the effect of using this regression method had little impact on the resulting catch limits.
Regression analysis of statistical indicators to determine the most relevant results.
The study of risk factors was performed using multiple logistic regression analysis. Results.
He develops economic models using regression analysis and game theory.
In addition, other techniques, such as regression analysis, can be employed.
Description and survival Cox Regression Analysis.
The resultswere compared using the variance and regression analysis.
The study constructed a soil quality index using regression analysis.
With RtEMIS, perform regression analysis using periods of peak performance with a dynamic target calculator to set accurate consumption targets.
The regression analysis shows a positive
for example for cross-table analysis, regression analysis and analysis of variance, SPSS, is preferable.
We need to know the race of everyone Baxter sentenced and do a regression analysis to look at variables that could explain the pattern.
He also discovered the properties of the bivariate normal distribution and its relationship to regression analysis.
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
The advantage of using this type of regression analysis is that it makes it possible to control for other influences affecting the demand of the relevant good,
A hypothesis test was conducted which indicated that the credibility of the regression analysis was robust
In Figure I.1246 we use linear regression analysis to assess the determinants of personal income among respondents who told us that they had a job at the time of the interview.47