A forecasting model of opera attendance was used to assess the relative importance of two categories of predictor variables: performance attributes and environmental characteristics. Separate analyses for subscribers and nonsubscribers yielded insight into the differences between the two groups concerning the impact of repertory and scheduling on attendance. While subscribers were most heavily influenced by timing, nonsubscriber attendance was also influenced by the familiarity of the opera. The predictive validity of the model was evaluated using data from the most recent season's performances.
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