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    Relationship of Linear Regression & Correlation

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    When is it appropriate to use linear regression? What is the relationship between linear regression and correlation?

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    Linear regression is used to explain the relationship between a dependent variable and one or more independent variables. The assumptions involved with linear regression are that:
    1. There is a linear relationship between the variables. This means that the Y scores change in only ...

    Solution Summary

    This solution explains the assumptions for linear regression, when it is used, and the relationship between linear regression and correlation. Includes APA formatted reference.