Examples of using Multiple regression in English and their translations into Slovenian
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Programming
A multiple regression was used to test this hypothesis.
The comparison of Holt-Winters method and Multiple regression method: a case study.
Multiple regression was applied for the test of hypotheses.
The students should get the skills for construction and development of multiple regression models.
A multiple regression analysis was used for hypothesis testing.
Statistical analysis was performed with Student's t-test, analysis of variance,χ² test and multiple regression analysis.
As such, standard multiple regression techniques cannot do the job.
Commission staff mentioned a number of factors that in their view can influence time to grant51. 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.
Multiple regression equation has been employed to verify the hypotheses.
First product-moment correlation between the actual values of the"dependent" variate in multiple regression and the values as given by the regression equation.
Hierarchical multiple regression analysis was then used to test the hypothesis.
Our hypotheses were tested using moderated multiple regression where main as well as interactive effects between job resources and demands were examined.
A series of multiple regression analyses indicated that both harmonious and obsessive passion were significantly related to all five types of imagery.
We could try multiple regressions with varying physical and experimental constants.
The methods of multiple regression and geographically weighted regression were used to analyse the impact of the selected factors at the national level or the level of local communities.
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.
Probability and statistics(statistical tests, multiple linear regression).
Associations were assessed using multiple conditional logistic regression.
Odds ratios(ORs) and 95% confidence intervals(CIs) were estimated by multiple logistic regression.
Adjusted odds ratios(ORs) and 95% confidence intervals(CI)were obtained by multiple logistic regression models.
Multivariate-adjusted odds ratios(ORs) with their 95% confidence intervals(CIs)were estimated by multiple logistic regression analysis.
During chemotherapy with multiple drugs simultaneously can create some regression of the tumor, but relapse is still inevitable.
During chemotherapy with multiple drugs simultaneously can create some regression of the tumor, but relapse is still inevitable.
Special attention is also devoted to improvement and development of sophisticated data processing methods based on linear and non-linear modelling suchas multivariate statistical methods, universal kriging, segment kriging, multiple polynomial regression and artificial intelligence- multilayer perceptron.
Multilevel regression models: Allow variance in outcome variables to be analysed at multiple hierarchical levels, whereas in simple linear and multiple linear regression all effects are modelled to occur at a single level.
Resolves a regression where selecting an individual object/table and then invoking Shift+Left Arrow will shrink the object, but when multiple objects are selected, the objects/tables are moved instead of being shrunk.
Modeling(linear and nonlinear) In this chapter,students will learn the basics of multiple linear regression(MLR) as an example of the linear regression. .