e year 2005, this report analyses the variables with the aim of understanding relationship between the indicators and financial success of the products.
This section analyses the data and focus is first made to descriptive statistics using tabular and graphical approaches. Analysis of possible relationship between the indicators and total gross sales is then done.
The table and the graph shows that most of products opening weekend gross sales (70 percent) earn below $ 10 million in opening weekend gross sales. Ninety five percent of the products earn below $ 40 million gross sale in the opening weekend and the higher values can be considered outliers.
The descriptive statistics show that a majority of the products (73 percent) earns total gross revenue of less that $ 40 million. Ninety four percent earns below $ 120 million and higher earnings, can be considerd outliers because of the small percentage.
Fifty percent of the products have less than 400 theater appearences while 29 percent have more than 2000 appearences. This suggest a sparce distribution of number of theaters, though with a majority having less number of theters (less than 400).
The following table and graph of the number of times that a product stayed in the top 60 show that the highest percentage of the products (38 percent) appeared less than five times. Fifty-seven percent of the products appeared in the top sixty between five and 20 times and only five percent of the product appeared more 20 times or more.
Opening gross sales, total gross sales, and number of weeks that a product takes in the top 60 have similar distribution and this suggests their possible association. Simple paired relationships are also evident between total gross sales and both opening weekend gross sales and number of weeks in the top 60, but not between total gross sales and number of theaters. Simple regression analysis confirms this and shows that opening weekend gross sales and number of times in the top 60 are