Examples of using Regression analysis in English and their translations into Slovenian
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In statistical simulation, regression analysis is a study used to evaluate the relationship between variables.
statistical methods such as multivariate and regression analysis would be advantageous.
Regression analysis estimates the relationship between variables
also called regression analysis.
and linear regression analysis(1934).
Comparison of survival curves from time of diagnosis versus the untreated historical cohort was made using a Cox proportional hazards regression analysis.
Survival in the treated patients was compared to survival in a similar historical cohort of untreated subjects using a Cox proportional hazards regression analysis(See Table 3).
you can use worksheet functions or the regression analysis tool in the Analysis  ToolPak Add-in.
Using a value-added approach(multilevel regression analysis), and controlling for the effects of language
This finding was not supported by a stepwise logistic regression analysis in which the following factors were identified as prognostic factors:
A regression analysis aims at quantitatively describing the concentration-response curve in the form of a mathematical regression  function Y= f(C)
Using a cox regression analysis, the risk of experiencing progressive disease or death was reduced by 61% with rituximab maintenance treatment when compared to observation(95% CI; 45%-72%).
For example, a regression analysis could be performed to establish a statistical relationship between the hedged item(eg a transaction in Brazilian coffee)
Unadjusted conditional logistic regression analyses.
Regression analysis of variance.
Logistic regression analysis.
Regression analysis is mainly used for.
Which of the following can be inferred from the regression analysis?
with their 95% confidence intervals(CIs) were estimated by multiple logistic regression analysis.
then do a regression analysis… to look at other variables that could explain the pattern.