Examples of using Multiple linear in English and their translations into Spanish
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Conclusion for this multiple linear regression.
Multiple linear mixed-effects regression models were conducted.
The methodology used was Multiple Linear Regression.
Multiple linear regression models were fitted based on field and GIS data.
The first one we will look at is the multiple linear regression model.
T-test and multiple linear regressions were conducted.
Data was analyzed using hierarchical multiple linear regressions.
A bivariate and multiple linear regression statistical analysis were carried out.
The course also includes an extensive discussion of the multiple linear regression models.
Statistics entailed multiple linear regressions and cluster analysis.
A new formulation for the time of concentration was obtained using multiple linear regression.
For the statistical treatment, a multiple linear regression analysis was employed.
Multiple linear regression model explains the variation of the levels of the 17 OHP.
In order to analyze these relations multiple linear regressions were applied.
Multiple linear and logistic regression models were used to analyze differences. Results.
In methodological terms,we employed multiple linear regression and path analysis.
Multiple linear regressions with robust estimates of variance, were used adjusting for specific covariates.
The response variable in the multiple linear regression was the score for quality of life.
Palabras llave: Ascorbic acid; Citric acid; Experimental design;ANOVA; Multiple linear regression.
ROC curve of the multiple linear regression values obtained for overall admissions above the mean.
The results were compared with those obtained by the multiple linear regression(MIR) method.
Simple linear regression, multiple linear regression, and four non-linear models were tested.
WG-EMM-16/74 proposed combining these approaches and presented a feeding opportunity index(FOI) that includes the relative abundance of krill, concentration of krill(patchiness) andflux of krill that could be expressed in a multiple linear regression.
It was proposed a model of multiple linear regression with quantitative and categorical predictors Results.
Multiple linear regression, logistic regression, discriminant analysis, factor analysis, cluster analysis, variance analysis and structural equation modeling.
The Phalcel Series Linear is a group of multiple linear metallic ceilings, with profiled aluminium slats and placed with an aluminium support profile using stainless steel to hold the slats together.
Multiple linear regression models of HRQL and clinical and care variables- In the regression models of the EQ-5D VAS score, a statistically significant relationship was found to exist with the patient's gender, age and type of stroke.
In contrast, the multiple linear regression model allows us to correlate all the variables simultaneously.
Multiple linear regression models of HRQL and sociodemographic and clinical variables- Themultiple linear regression model constructed with the EQ-5D VAS as a dependent variable reveals that the fact of living with another person or other persons is associated with a better HRQL, an increase in the average VAS score of nearly 8 points being found.
Hung et al.(2002)used temperature normalization, multiple linear regression, and digital filtration to analyze the temporal trends of an atmospheric dataset on organochlorine pesticides collected at the Canadian high Arctic site of Alert, Nunavut.