The Motion Picture Industry: Executive Summary

The doubtfulness go out constancy is a competitive business. More than 50 studios produce a occur of 300 to 400 new movies apiece year. The financial success of each motion picture varies considerably. The opening weekend tax income gross gross revenue (in millions), the nub gross gross gross revenue (in millions), the number of theaters in which the movie was bespeakn, and the number of weeks the motion picture was in the top 60 for gross sales argon common variables use to measure the success of a movie. Data calm for a sample of 100 movies produced in 2005 are contained in the wake named Movies. xlsx.This file is attached to the assignment link on Blackboard. Using this entropy prepare an executive summary detailing how each of the variables help apologize the tiller out gross sales. In other words, your sum of money gross sales is a function of opening gross sales, number of theaters, and number of weeks in the top 60. The executive summary give contain the a vocation parts. 1. What are your initial assumptions or hypotheses? Which of the variables have the broad(prenominal)est correlation with nub gross sales? IE, which variables to you think make the around difference toward total gross sales? By studying the information, I believe the variable with the proudest correlation with total gross is the opening gross sales.The movie with the highest opening gross withal ends up with the highest total gross sale. 2. perplex the descriptive statistics for each of the quartette columns. 3. Develop tabular and graphical summaries for each of the four variables along with a description of what each summary tells us about the motion picture industry, if anything. 4. Develop a spreading diagram to explore the relationship amongst total gross sales (y) and opening weekend sales (x). demonstration the regression and slope equations with a trend line. . Develop a scatter diagram to explore the relationship between total gross sales (y) and Nu mber of theaters(x). pageantry the regression and slope equations with a trend line. 6. Develop a scatter diagram to explore the relationship between total gross sales (y) Number of weeks in the top 60 (x). Display the regression and slope equations with a trend line. 7. Which of these three variables have the well-nigh consummation on total gross sales? Does this make smack to you? why or Why not? * The variable that effects the total gross sales the most is the opening sales with R? = 0. 9298.It does make sense to me because usually If the movie does not start with a high opening gross, meaning muckle dont go to premier, it will start falling behind as other movies are following to come out. 8. Does this final analysis square with your initial assumptions or speculation? Why or why not? -Yes it does, in my hypothesis I came to the conclusion that opening gross was the main variable and had the most effect as it was shown in the data given, and It made sense to me since I ch eck off a lot of movies, usually if it doesnt start with a high gross, it will not have a great total gross sales if comparing to other movies. . If you were the marketing executive in charge of spending $100 million to promote the new Iron gentleman 3 movie coming out this summer, where would you concentrate your money and efforts? Why there? -I would concentrate the money in trailers and commercials as this is how it will show consumers how the movie will be, a sneak peak which everyone loves, and for the ones that dont have an idea of what the movie is about, it will show them and will most likely encourage them to watch the movie, pretty much it pumps up people and excite them to watch the movie.