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STATISTICS
Multivariate Analysis
Latent Factors
Hidden forces in data reveal surprising patterns shaping our understanding of complex systems
12 days ago
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Why are latent factors crucial in factor analysis when interpreting observed variables?
Because they represent underlying variables that explain correlations among observed variables, reducing complexity.
Because they are directly measured variables that replace observed data entirely.
Because they are random errors that do not influence the observed variables.
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