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Linear Least-Squares Regression

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Sidney Young and Andrzej Wierzbicki

Department of Chemistry, University of South Alabama, Mobile, AL 36688

J. Chem. Educ., 2000, 77 (5), p 669

DOI: 10.1021/ed077p669.1

Publication Date (Web): May 1, 2000

Abstract

Linear least-squares regression is the workhorse mathematical tool of the physical chemistry laboratory. This Mathcad worksheet and its accompanying data files demonstrate various implicit and explicit methods for determination of slope and intercept of a regressed line.

Keywords (Audience):

Upper-Division Undergraduate

Keywords (Domain):

Physical Chemistry

Keywords (Pedagogy):

Computer-Based Learning

Keywords (Subject):

Laboratory Computing / Interfacing

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History

Received: August 03, 2009

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Non-Linear Least-Squares RegressionJournal of Chemical Education
- Non-Linear Least-Squares Regression
  Sidney Young and Andrzej Wierzbicki
  Journal of Chemical Education 2000 77 (5), p 669
  Abstract:
  Nonlinear least-squares regression is often required in the physical chemistry laboratory. It is especially important for fitting functions that cannot be linearized. This template demonstrates various implicit and explicit methods for determining of the ...
  Abstract | PDF w/ Links | Hi-Res PDF

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