Beer chemistry and canadians' beer preferences

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.