Simple linear regression: Difference between revisions

Revision as of 16:19, 15 March 2007

Revision as of 03:47, 16 March 2007

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A '''simple linear regression''' is a [[linear regression]] in which there is only one [[covariate]] (predictor variable).

Simple linear regression is used in situations to evaluate the linear relationship between two variables. One example could be the relationship between muscle strength and lean body mass. Another way to put it is that simple linear regression is used to develop an equation by which we can predict or estimate a dependent variable gay given an independent variable.

The regression equation is given by