## Answers

ANOVA is specific to comparing means of different groups. Multiple Regression is a linearization of a particular data set.

#### Explanation:

For example, an ANOVA could be used to determine whether the difference between different sets of linear regressions were statistically different or not.

A multiple regression looks for correlation *within* a set of data. ANOVA looks for differences *between* sets of data.

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