Examples of using Multiple regression in English and their translations into Greek
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Multiple Regression Diagnostic Tests.
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Multiple Regression definition, examples.
The method used is multiple regression analysis.
Multiple Regression definition and examples.
The methodology used was multiple regression analysis.
Multiple regression python pandas jobs found, pricing in USD.
The analysis method used was a multiple regression analysis.
A Multiple Regression Analysis of Factors Concerning.
The methodology adopted is the multiple regression analysis.
Multiple regression, estimation fault, factors of cross-correlation.
The model that was identified is multiple regression analysis.
We could try multiple regressions with varying physical and experimental constants.
Data have been analyzed using correlations(Pearson r) and multiple regression analysis.
Multiple regression analysis was used to assess risk factors for rheumatic diseases.
The techniques applied are Regression Analysis(Simple and Multiple Regression).
The one difference between multiple regression model and GLM is the number of dependent variables that can be analyzed.
In some studies,imbalances in participant characteristics are adjusted for by using some form of multiple regression analysis.
One way in which the general linear model differs from the multiple regression model is in terms of the number of dependent variables that can be analyzed.
The fragment constants fi and Cm have been determined from a list of 1 054 experimental Pow values of 825 substances using multiple regression analysis(6)(8).
Multiple regression analysis revealed that specialization in nursing and postgraduate studies affect positively at statistically significant level p.
The fragment constants fi and Cm have been determined from a list of 1 054 experimental Pow values of 825 substances using multiple regression analysis(6)(8).
Using multiple regression model and statistical inference, we tried to determine whether the institutional framework, the crisis and macro-economic factors affect entrepreneurship.
For those factors where quantification is possible and data were readily available,the Court used a multiple regression analysis to estimate the relative magnitude of their impact.
In stepwise multiple regression model, changes in waist to hip ratio(WHR) and thyroid hormones were significant predictors of changes in serum VEGF and Nesgfatin-1 values in Nigella sativa treated group(P<0.05).
Nearly all real-world regression models involve multiple predictors, andbasic descriptions of linear regression are often phrased in terms of the multiple regression model.
Multiple regression analyses indicated that percentage changes from baseline tended to be greater in patients with greater degrees of pain and disability, but were otherwise largely unrelated to the patients' characteristics.
Linear regression: Data are modeled to fit a straight line Often uses the least-square method to fit the line Multiple regression: allows a response variable Y to be modeled as a linear function of multidimensional feature vector Log-linear model: approximates discrete multidimensional probability distributions.
A multiple regression analysis was conducted to test the statement in the Synthesis Report that Ôincreased levels of GDP per capita have generally not been the result of increased employment rates resulting from job creationŐ(1).
As such, the variables found to be associated with growth response in the prediction models,all of which are based on multiple regression analysis of data from KIGS explain 30 to 70% of the variability in growth response, and in some cases closer to 30%(30-70% for IGHD, 30-68% for TS, 30-52% for SGA).