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.

Science Hypermedia Home Page