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Neuroscientist Kiyohito ligaya and colleagues developed a computational model to predict how much a person will enjoy a particular work of art on a scale from 1 (not at all) to 4 (very much). They then recruited participants to use the same scale to rate several sets of paintings in various styles and calculated the correlation between the ratings predicted by the model and those reported by the participants. Assuming participant P6 gave equal ratings to the abstract and cubist paintings, the data in the graph indicate the model predicted that