| Issue |
EAS Publications Series
Volume 66, 2014
Statistics for Astrophysics Methods and Applications of the Regression
|
|
|---|---|---|
| Page(s) | 41 - 44 | |
| DOI | https://doi.org/10.1051/eas/1466004 | |
| Published online | 23 January 2015 | |
D. Fraix-Burnet and D. Valls-Gabaud (eds)
EAS Publications Series, 66 (2014) 41–44
Practical Session: Simple Linear Regression
Laboratory LJK, Grenoble University, BP. 53, 38041 Grenoble Cedex 09, France
galton.org/essays/1880-1889/galton-1886-jaigi-regression-stature.pdf
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).
© EAS, EDP Sciences, 2015