Attracted by the possible returns from a portfolio of movies, hedge funds have invested in the movie industry by financially backing individual films and/or studios. The hedge fund Gelt Star is currently conducting some research involving movies involving Adam Sandler, an American actor, screenwriter, and lm producer. As a first step, Gelt Star would like to cluster Adam Sandler movies based on their gross box office returns and movie critic ratings. Using the data in the le Sandler, apply k-means clustering with k = 3 to characterize three different types of Adam Sandler movies. Based the clusters on the variables Rating and Box Office. Rating corresponds to movie ratings provided by critics (a higher score represents a movie receiving better reviews). Box Office represents the gross box office earnings in 2015 dollars. Be sure to Normalize Input Data and specify 50 iterations and 10 random starts in Step 2 of the XLMiner k-Means Clustering procedure. Use the resulting clusters to characterize Adam Sandler movies.