Question: (26 points) Short Answer Question 3 Universal Studios is developing a model to predict first week number of tickets sold to its non-animated movies. Universal

(26 points) Short Answer Question 3 Universal Studios is developing a model to predict first week number of tickets sold to its non-animated movies. Universal collects information on 17 recent releases and wants to identify those characteristics that are related to TICKETS. TICKETS Number of tickets sold in the first week (in millions of tickets) COST Production plus marketing cost (in millions of dollars) THEATRE Number of theatres (in hundreds of theatres) HOLIDAY = 1 if the movie opened on a holiday weekend DRAMA = 1 if the movie is a dramatic movie (ex. Twilight Saga) ACTION = 1 if the movie is an action adventure movie (ex. Pirates of the Caribbean SUPERHER = 1 if the movie is a superhero movie (ex. Spiderman) O CMO =1 if the movie is a comedy/musical other movie (excluded category) The data was used to fit the following three models in which the dependent variable is TICKETS a) What is the value of the simple correlation between TICKETS and COST?b). If you are able to determine the answer, is showing the film in more theatres associated with higher ticket sales (with cost and holiday opening held constant) with = 0.05? (Justify your response).c) If you are able to determine the answer, do higher cost movies have higher ticket sales (with THEATRE, HOLIDAY and movie genre held constant) with = 0.05? (Justify your response). . d) If you are able to determine the answer, do movies opening on holiday weekends have different ticket sales than those opening on nonholiday weekends (with COST held constant) with = 0.05? (Justify your response). . e) Interpret the coefficient for COST in Model 1 (that is, interpret the estimated value of 0.0944 without considering whether or not this value is \"statistically significant\"). . f) Interpret the coefficient for ACTION in Model 3 (that is, interpret the estimated value of 2.3487 without considering whether or not this value is \"statistically significant\"). . g) Interpret the coefficient for THEATRE in Model 2 (that is, interpret the estimated value of 1.6813 without considering whether or not this value is \"statistically significant\"). . h) Which model would you recommend to predict TICKETS with = 0.05? (Justify your response). . i) Based on model 3, predict TICKETS for a superhero movie opening in 3500 theatres on a holiday weekend that cost $150,000,000. Use all variables in Model 3 to obtain your prediction even if some of them are not \"statistically significant\". . j) What is the 95% prediction interval for your prediction in part i)

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