Applied statistics laboratory
 A.A. 2016/2017
 CFU 3, 3(m)
 Ore 20, 20(m)
 Classe di laurea LM77, LM77(m)
Basic mathematics
The laboratory aims at providing basic tools for the quantitative analysis of economic phenomena.
The approach is of a practical nature and students will apply statistical concepts to real world
situations. The statistical software package R will be used extensively throughout the course. At the
end of the lab, students should be able to carry out a regression analysis, apply model selection
procedures and explain statistical results.
The first part of the lab will be devoted to a short introduction of the R programming language. Its
syntax and object oriented language will be presented, as well as some facilities for data
manipulation, calculation and graphical display.
The main part of the lab will then focus on data analysis through regression methods. These
methods deal with modelling how one characteristic (expenditures, prices, sales, etc.) varies with
one or several other characteristics (income, gender, cost of work, supply, etc.). The scope of
regression modelling that will be covered includes multiple regression analysis with categorical
effects, interactions, panel structure, model choice and regression diagnostic procedures.
 1. (A) Julian J. Faraway Linear Models with R Chapman & Hall/CRC, Boca Raton, 2014 » Pagine/Capitoli: 116
Data sets, supplementary readings, and teaching material supplied by the teacher.

Practical classes in a computing lab. Weekly assignment of homework and readings. Inclass
discussion of homework and readings.
 A regression analysis of a dataset using the tools learnt throughout the course. The analysis should
be done individually as a takehome project and results should be presented as a written report.
The aim is to evaluate the ability of the student to apply regression in a practical context. The report
should then be shortly discussed with the teacher in order to evaluate the comprehension of
theoretical issues.
English
English