Examples of using Multiple regression in English and their translations into German
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The multiple regressions on unemployment indicators.
This is known in the field as stepwise multiple regression.
We could try multiple regressions with varying physical and experimental constants.
In developing the tests used andthe criteria for evaluation of the Russian language, as multiple regression and factor analysis.
Protein Use multiple regression to predict the average response variable using these three predictor variables.
An EDP program for the medium-term prediction of the methane content in the return air flow of workings,based on discrete linear multiple regression.
The first row gives the results of the multiple regression, and the second those of the simple regression. .
Multiple regressions are also used on a single functional relation by adding one variable at a time in order to determine which of the variables contribute most explanatory power.
First product-moment correlation between the actual values of the"dependent" variate in multiple regression and the values as given by the regression equation.
Multiple regression analysis suggests that the IOP one hour after YLC was the only independent variable significantly associated with subsequent IOP elevation p=0.0024.
Confirmatory data analysis: specification and examination of linear models with dependent metric anddiscrete variables simple and multiple regressions, logistic regression. .
Fitting body fat to the other measurements using multiple regression provides a convenient way of estimating body fat for men using only a scale and a measuring tape.
The method of making mediumterm predictions of the methane content in the return air flow of workings which is presented here can becharacterised as a point forecast using discrete multiple regression 2.
After including placental mass as a covariate in multiple regression analysis, BMI-related metabolic changes correlating with neonatal body fat mass were no longer significant e23.
It offers functions to analyze the most important test distributions, procedures to analyze confidence intervals, implementation of the most important test procedures,simple and multiple regression, some variance analysis, and a few more, practical methods.
A multiple regression is run, using the growth rate of the information from qualitative business opinion surveys industrial production lagged with values of the business conducted by DG II questions on order books and ques opinion survey data.
It offers functions for the calculation of the most important test distributions, procedures for the calculation of confidence intervals, implementation of the most important testing methods,simple and multiple regression, plus a variety of other methods useful for practical applications.
Multiple regression and pooled group analyses evaluating the influence of treatment duration and use of induction dosing clearly identified treatment duration for 72 weeks as the primary driver for achieving a sustained virological response.
Statistical analysis(variance, redundancy and multiple regression analysis) of the alpine pastures shows that soil organic matter, thickness of the organic layer and pH value have a strong impact on the biomass of earthworms, dependent on their ecological groups epigeic, endogeic and hemi-edaphic.
Multiple linear regression can be used to create an arbitrary polynomial fit between two variables.