# Linear Regression

### Introduction

Linear regression uses the method of least squares to determine the best equation describing a set of x and y data points.

### Linear Regression Equations

For the equation y = mx + b

Useful quantities:

*Slope:*

*Intercept:*

*Standard deviation of the residuals:*

*Standard deviation of the intercept:*

*Standard deviation of the slope:*

*Standard deviation of a unknown read from a calibration curve:*

### Further Information

/chem-ed/data/lin-regr.htm, updated 11/3/96

Copyright © 1996 by Brian M. Tissue, all rights reserved.

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