Примери за използване на Regression analysis на Английски и техните преводи на Български
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Linear regression analysis.
This is called curve fitting or regression analysis.
Multiple regression analysis.
Regression analysis in MS Excel.
And multiple regression analysis.
Regression analysis looks for correlations between different values.
Results of the Regression Analysis.
Regression analysis was performed using Microsoft Excel.
Correlation and regression analysis.
The regression analysis determines the values of the parameters that cause the….
Erm, I'm done with the regression analysis.
Linear regression analysis method.
Areas of use of correlation and regression analysis.
Perform a regression analysis- Excel.
Click Open in Excel and perform a regression analysis.
I think by using simple regression analysis we could really reconfigure the entire business.
This may be achieved by curve fitting or regression analysis.
Linear regression Analysis(Econometric Method) is useful for long term forecasting.
Charting and forecasting based on regression analysis.
Correlation and regression analysis of economic processes is divided into several stages.
Such analysis is also named regression analysis.
A multivariate logistic regression analysis of smoking and BMI showed an odds ratio of 19.25.
Beta can be estimated for individual companies using regression analysis.
Regression analysis of the area under the curve(AUC0-∞) versus treosulfan dose indicated a linear correlation.
In order togenerate that function you would use regression analysis.
Regression analysis is a statistical method for investigating the dependence of random variables on variables.
In order to capture this relationship,use regression analysis instead.
In statistical simulation, regression analysis is a study used to evaluate the relationship between variables.
At the end we decided to use exponential smoothing and linear regression analysis.
These papers contain contributions to regression analysis, the correlation coefficient and includes the chi-square test of statistical significance(1900).