Abstract
Beer companies want to understand the relationship between the chemical characteristics of beer and the preferences for beer exhibited by consumers. Two data sets were provided to the analysts in this case study. The first set consisted of chemical measurements on 91 beers and preference measurements on the same beers collected from beer consumers in blind taste tests. The analysts were asked to use these data to develop a statistical model relating beer chemistry and consumer preferences for beer. The second data set consisted of chemical measurements on a holdout sample of 37 beers. The analysts were asked to employ their statistical model to predict consumer preferences for the beers in the holdout sample. The case study assesses the success of their modelling efforts.
Résumé
Les brasseurs aiment connaître la relation entre les caractéristiques chimiques de leurs bières et les préférences exprimées par les consommateurs. Deux ensembles de données furent fournis aux analystes. Le premier comprenait une série de caractéristiques chimiques mesurées sur 91 bières ainsi que des mesures de préférence, pour les mêmes bières, recueillies lors de tests où les types de bières ne sont pas connus des dégustateurs. On demanda aux analystes d’utiliser ces données afin d’élaborer un modèle statistique permettant de relier les caractéristiques chimiques d’une bière aux préférences des consommateurs. Le deuxième ensemble de données était constitué de mesures sur 37 bières non incluses dans le premier ensemble. Les analystes devaient utiliser le modèle proposé afin de prédire la cote de préférence des consommateurs pour ces bières. On compare les performances des différents modèles proposés.
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Gentleman, J.F. et al. (1994). Beer Chemistry and Canadians’ Beer Preferences. In: Gentleman, J.F., Whitmore, G.A. (eds) Case Studies in Data Analysis. Lecture Notes in Statistics, vol 94. Springer, New York, NY. https://doi.org/10.1007/978-1-4612-2688-8_6
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DOI: https://doi.org/10.1007/978-1-4612-2688-8_6
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