Practical Session: Multiple Linear Regression

Marianne Clausel (1) , Gérard Grégoire (2)

1 SAM - Statistique Apprentissage Machine
2 FIGAL - Fiabilité et Géométrie Aléatoire

Three exercises are proposed to illustrate the simple linear regression. In the first one investigates the influence of several factors on atmospheric pollution. It has been proposed by D. Chessel and A.B. Dufour in Lyon 1 (see Sect. 6 of http://pbil.univ-lyon1.fr/R/ pdf/tdr33.pdf) and is based on data coming from 20 cities of U.S. Exercise 2 is an introduction to model selection whereas Exercise 3 provides a first example of analysis of variance. Exercises 2 and 3 have been proposed by A. Dalalyan at ENPC (see Exercises 2 and 3 of http://certis.enpc.fr/ dalalyan/Download/TP_ENPC_5.pdf).

Domaines: Statistiques [stat]; Machine Learning [stat.ML]; Calcul [stat.CO]

Marianne Clausel, Gérard Grégoire. Practical Session: Multiple Linear Regression. Statistics for Astrophysics Methods and Applications of the Regression, 66, EDP Sciences, pp.73-75, 2014, EAS Publications Series, ISSN: 1633-4760 - eISSN: 1638-1963. ⟨10.1051/eas/1466006⟩. ⟨hal-02019985⟩