Experientia

, Volume 27, Issue 11, pp 1374–1375 | Cite as

Ein Beispiel zur Anwendung mehrfacher linearer Regression in der Biochemie

  • H. Thöni
Specialia Pro Experimentis

Summary

Multiple linear regression is a versatile tool to describe the dependence of an observed variable from a number of experimentally varied factors. It makes it possible to estimate the parameters of a response function simultaneously from a single set of data and to test the appropriateness of a proposed model. An example illustrates the application of multiple linear regression to an experiment in biochemistry: the estimation of the distance travelled by a chemical in micro-electrophoresis. Tests based on multiple linear regression prove that the travelling speed is not completely proportional to the electric current applied but also contains a constant term.

Literatur

  1. 1.
    R. Strasser undA. Miserez, Experientia27, 239 (1971).Google Scholar
  2. 2.
    O. Kempthorne,The Design and Analysis of Experiments (John Wiley and Sons, Inc., New York 1952; Fifth printing 1966), Chapter 5.Google Scholar

Copyright information

© Birkhäuser Verlag 1971

Authors and Affiliations

  • H. Thöni
    • 1
  1. 1.Laboratorium für Biometrie und PopulationsgenetikEidg. Technische HochschuleZürichSchweiz

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