Suppose you are an operations manager fora multiplex in a metro city. You noticed that a minimum few seats always went unsold during weekdays. To understand the reason behind this, you collected data to predict the number of empty seats based onyariabies the duration of the movie, prices ofticlmts, cost of refreshments, number of songs, number of known actors, Booki'il'inhow ratings, hit films bydirector, etc. The computer output of the multiple linearregression is Number of empty seatstY]: Total number of empty seats during weekdays Movie lengthljx: The duration of a movie in minutes 'I'icket_p1icesiz): The average ticlmt price per seat in rupees Nmnher_of_son,gs[3}: The total number of songs in the movie Cost_of_refreshrnents{1s}: The average price of refreshments in rupees BookMyShow_ratingsij J: The rating of the movie in Boold'u'IyShow Nmnher_of_lmom1_actors[1{6]: The number ofknmvn actors in the movie Hit_lms_by_director{]i?}: The number of hit lms by the director of the movie. [Metal] signicance test results: Pvalue is 110131. Summary measures: Rsquare 2 sins: Adjusted Rsquare : 39.23% Standard error of estimate : 9.133;\". Answer the tollmeing questions based on the information given in the comprehension above. 1You need not use any tool or software. The information required to answer the questions is provided in Ihe comprehension.