There are many different models, each with its own type of analysis:
Correlation analysis[?] simply tries to establish whether or not there are linear relationships among the variables.
Regression analysis attempts to determine a linear formula that can describe how some variables respond to changes in others .
Principal components analysis attempts to determine a smaller set of synthetic variables that could explain the original set.
Discriminant Function or Canonical variate analysis[?] attempt to establish whether a set of variables can be used to distinguish between two or more groups.
Principal coordinate analysis[?] attempts to determine a set of synthetic variables that best preserves the distance relationships between records.
All Wikipedia text
is available under the
terms of the GNU Free Documentation License
Search Encyclopedia
Search over one million articles, find something about almost anything!
... Gerard Leavey[?], 45
Richard Lanard Allen[?], 30
Arthur Thaddeus Barry[?], 35
Thomas W. Kelly[?], 50
Scott Kopytko[?], 32
Scott Larsen[?], 35
Douglas E. ...