Examples of using Regression analysis in English and their translations into German
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Permitted point deletions from regression analysis.
A regression analysis allows all of the measured data to be included when determining the solution.
Dependency analysis, e.g., in terms of regression analysis Experiments.
A regression analysis[LA]-speed relationship was used to calculate v 2.
Have an understanding of regression and logistic regression analysis for predictive modelling.
There a many types of regression analysis and the one(s) a survey scientist chooses will depend on the variables he or she is examining.
The focus is on the implementation of look-up tables, regression analysis and the Iman-Conover method.
The regression analysis proves that own R& D represents the strongest driving force for product innovations in regard to input factors.
As a first step therefore, these determinants are identified with the help of regression analysis.
This sensitivity is evaluated through a regression analysis of the accuracy of the RSD as a function of each environmental parameter.
The next section of the course deals with statistical plotting, regression analysis, and curve fitting.
To answer the primary question, logistic regression analysis was used to identify factors potentially influencing the primary outcome.
The impact of price changes can be created quantitatively within a model, for example, with regression analysis.
The regression analysis shows that R& D is a significant determinant of innovation in East and West for all types of innovation.
Students are able tocalculate and interpret simple functional relationships using regression analysis and to evaluate the quality of it.
Regression analysis is an advanced method of data visualization and analysis that allows you to look at the relationship between two or more variables.
When founded in 2006 in Aachen, the focus was on the application of regression analysis to benchmark business processes, so Processbench was the name of choice.
Regression analysis not only indicates the number of different variants, but also the number of complexity levels or product groups within one product line.
In the second part of our small series about sales modeling(you can find the first part here)we will talk about regression analysis, the core of sales modelling.
Regression analysis is used to ascertain the causal effects of demographic, social, political and economic factors on attitudes.
During this short international visit,she developed her skills in the application of social network analysis, regression analysis, and research design of natural resource policy further.
Since sales modelling is methodically based on the regression analysis, which determines the causal relationship between advertising activity and sales, it is indispensable for the implementation.
Keays concluded from the study that estimates of the Rh, Ir, and Ru concentrations in the River Valley resource can be obtained on the basis of the average Pt andPd assay grades through a regression analysis.
The elasticity coefficients are obtained by regression analysis,(I) with the revenues or expenditures in the various regions as the dependent variables, and primary income as the independent variable.
For the locations with available monthly cumulative distributions, the Experimental Local Data indicated by Table 4.2.(1), the values of CO andC1 have been determined using rank-order and regression analysis(7).
The dose-effect relationship is calculated by a regression analysis with log-probit transformation of the parameter pairs, and from this the 10% and 50% effect concentration is determined as test result EC10 and EC50.
In addition to improved decision-making around forecasting and automated replenishment, with RELEX, WHSmith will also gain the ability to analyze historical passenger numbers and footfall,and use machine learning to conduct a regression analysis to predict future customer visits.
A regression analysis(estimating the labour demand of the local manufacturing industry) showed no empirical evidence for any relationship between the changes in labour demand and the amount of GA-Infra funded water and sewerage infrastructure investments.
Processing the results by multiple regression analysis enabled a statistically significant dose/response ratio to be worked out for each parameter and allowed the optimum concentrations of the additive to be assessed for broilers and pigs Morris 1983.
Regression Analysis is a statistical forecasting method, that is concerned with describing and evaluating the relationship between a particular dependent variable and one or more other variables usually called the independent variables.