Cluster analysis clarifies the underlying structure of multivariate data in a way that makes it the best complement to regression analysis.
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Q1: Statisticians often call the clusters obtained through
Q3: Discriminant analysis and factor analysis are examples
Q4: Factor analysis can be used for data
Q5: In hierarchical cluster analysis,once a group of
Q6: If the eigenvalue of the first factor
Q7: Factor analysis tells us which variables are
Q8: Varimax rotation involves an oblique rotation of
Q9: Hierarchical clustering works well if a researcher
Q10: The principal .reason for rotating a factor
Q11: Varimax rotation in factor analysis will tell
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