PROPHET StatGuide: (Simple) Linear Regression

Simple linear regression fits a straight line to X-Y data by the method of least squares. The fit may then be used to test the null hypothesis that the slope is 0.


The normality assumption is required for hypothesis tests, but not for estimation.
The X variable is also known as the independent variable.
The Y variable is also known as the dependent variable.


To properly analyze and interpret the results of simple linear regression, you should be familiar with the following terms and concepts:

Failure to understand and properly apply simple linear regression may result in drawing erroneous conclusions from your data. If you are not familiar with these terms and concepts, you may wish to consult with a statistician. You may also want to consult the following references:

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Last modified: February 20, 1997

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