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.
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... is 2.81.
In the village the population is spread out with 20.5% under the age of 18, 6.1% from 18 to 24, 24.6% from 25 to 44, 28.2% from 45 to 64, and 20.7% who are 65 ...