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Practical Session: Simple Linear Regression

Published online by Cambridge University Press:  23 January 2015

M. Clausel  and
G. Grégoire
M. Clausel*
Affiliation:
Laboratory LJK, Grenoble University, BP. 53, 38041 Grenoble Cedex 09, France
G. Grégoire*
Affiliation:
Laboratory LJK, Grenoble University, BP. 53, 38041 Grenoble Cedex 09, France
*
galton.org/essays/1880-1889/galton-1886-jaigi-regression-stature.pdf
galton.org/essays/1880-1889/galton-1886-jaigi-regression-stature.pdf
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Abstract

Two exercises are proposed to illustrate the simple linear regression. The first one is based on the famous Galton's data set on heredity. We use the lm R command and get coefficients estimates, standard error of the error, R2, residuals …In the second example, devoted to data related to the vapor tension of mercury, we fit a simple linear regression, predict values, and anticipate on multiple linear regression.

This pratical session is an excerpt from practical exercises proposed by A. Dalalyan at EPNC (see Exercises 1 and 2 of http://certis.enpc. fr/∼dalalyan/Download/TP_ENPC_4.pdf).

Type
Research Article
Information
European Astronomical Society Publications Series , Volume 66: Statistics for Astrophysics Methods and Applications of the Regression , 2014 , pp. 41 - 44
Copyright
© EAS, EDP Sciences, 2015

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