Приклади вживання Regression analysis Англійська мовою та їх переклад на Українською
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To answer this question, a regression analysis was used.
This course begins with basic descriptive statistics and progresses to regression analysis.
For example, consider a regression analysis model with normally distributed errors.
Such analysis is also named regression analysis.
In regression analysis, preparation added 9.4 points to Ukrainian language and 8.6 points to math.
The results obtained were verified using regression analysis.
Using regression analysis was established relationship between the reviews, which were investigated.
Yet at the same time both show independent effect in regression analysis.
Regression analysis relationship between these indicators revealed species-specific correlation between them.
The distinction is most important in regression analysis, where it leads to the concept of studentized residuals.
The graph depicts an education*politics interaction, from a probability-weighted logit regression analysis of survey data.[13].
In order to perform a regression analysis the user must provide information about the dependent variable Y{\displaystyle Y}.
The purpose of the paper is to forecast thelevel of financial security of the country based on regression analysis of impacts factors.
The early models were typically based on regression analysis or mathematically derived from theories from other domains.
In regression analysis, the distinction between errors and residuals is subtle and important, and leads to the concept of studentized residuals.
The first part of the courses willfocus on extending the results from the simple linear regression analysis to a multiple regression model.
In traditional regression analysis, the most popular form of feature selection is stepwise regression, which is a wrapper technique.
The studies are based on the use of actual statistics,the main statements of the epidemiology theory and multiple regression analysis methods.
For instance, in multiple regression analysis, the power for detecting an effect of a given size is related to the variance of the covariate.
Skills in experimental design, fieldwork, data analysis, statistical methods such as multivariate and regression analysis would be advantageous.
Regressions[edit] In regression analysis, the distinction between errors and residuals is subtle and important, and leads to the concept of studentized residuals.
The ProGERD study, likely the largest of its kind(gt;5,000 patients)used logistic regression analysis to identify several independent risk factors for ERD.
The paper used regression analysis methodology for obtaining and comparing the regression coefficients of the related data for the first time.
Both disciplines gather data- economics by empirical observation and psychology by experimentation-and both use statistical techniques such as regression analysis to draw conclusions from it.
Logistic regression analysis revealed that actigraphy- assessed shorter sleep duration was associated with an increased likelihood of development of a clinical cold.
Independent EDVD determinants were measured among 17 traditional factors of cardiovascular risk and 30 SLE-specific clinical andlaboratory parameters using multiple linear regression analysis.
In statistics and in particular in regression analysis, leverage is a measure of how far away the independent variable values of an observation are from those of the other observations.
As the Social Neuroscience Researcher and as the Documentary Films Scriptwriter,he uses machine study, regression analysis and the forecasting for user's interface setting and personalization.
In this case, regression analysis fails to give a unique set of estimated values for the three unknown parameters; the experimenter did not provide enough information.
Using statistical methods of calculation of productivity ratios and regression analysis, the article studies expediency of implementation of the methodology on improvement of CMMI processes using examples of Ukrainian enterprises.