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[[Image:Okuns law quarterly differences.svg|300px|thumb|[[Okun's law]] in [[macroeconomics]] is an example of the simple linear regression. Here the dependent variable (GDP growth) is presumed to be in a linear relationship with the changes in the unemployment rate.]]
In [[statistics]], '''simple linear regression''' is a [[linear regression]] model with a single [[covariate|explanatory variable]].<ref>{{cite book |last=Seltman |first=Howard J. |date=2008-09-08 |title=Experimental Design and Analysis |url=http://www.stat.cmu.edu/~hseltman/309/Book/Book.pdf |page=227}}</ref><ref name=":0">{{cite web |url=http://ci.columbia.edu/ci/premba_test/c0331/s7/s7_6.html |title=Statistical Sampling and Regression: Simple Linear Regression |publisher=Columbia University |access-date=2016-10-17 |quote=When one independent variable is used in a regression, it is called a simple regression;(...)}}</ref><ref>{{cite book |last=Lane |first=David M. |title=Introduction to Statistics |url=http://onlinestatbook.com/Online_Statistics_Education.pdf |page=462}}</ref><ref>{{Cite journal|
The adjective ''simple'' refers to the fact that the outcome variable is related to a single predictor.
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