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It is a generalization of both regression and factor analysis and comprises most of the linear modeling methods as "special cases".
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Mean scenic beauty scores were compiled and later related to the expert judgments, using correlation, regression and factor analysis.
Descriptive, regression and factor analyses were performed.
It is a combination of multiple regression and factor analysis.
It also precludes multiple regression and factor analyses.
SEM is a generalization of linear regression and factor analysis models [ 30, 31].
Univariate analyses were conducted using χ-tests, and multivariate analyses were conducted using multiple regression and factor analysis.
Three different statistical methods were applied (i.e., analysis of prevalence data, multiple regression and factor analysis), stratifying by sex.
Secondly, a single structural equation model can combine the strengths of both multiple regression and confirmatory factor analysis [ 33].
In this paper, however, the importance of using a combination of the linear regression and correlation factors is highlighted.
We have introduced an outbreak detection method based on Bayesian linear regression and Bayes factors.
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