Md Delwar Hossain

The authoritative statistics of the game industry (including console games, computer games and mobile games) in the United Special Database States began in 1996, and the total amount of data is significantly less than that of the film industry. However, our conclusions remain unaffected—there is a strong, significant linear relationship between operating income and GDP, household disposable income, and total personal spending in the U.S. gaming industry. Also, gaming industry revenue has a significantly larger slope on macroeconomic data. In other Special Database words, each unit of change in macro data such as GDP has a far greater impact on the game industry than on the film industry. Sorry, there is really no "lipstick effect" in the media and entertainment industry! In this case, can we declare that the Special Database film and game industries in the United States are strong cyclical industries, and the "lipstick effect" has been falsified? Wait a minute! You must know that since the 1980s, the United States has been one of the fastest growing economies in developed countries, with GDP growing almost every year, as well as movie Special Database box office revenue and game industry operating income. This is easy to cause "false positives" - the two sets of data just happen to change in the same direction, and there is not necessarily a causal relationship. Also, an investor's timeline doesn't necessarily have to be as long as a year, and it could be quarterly. We also need to do a Special Database more in-depth analysis of quarterly data, although quarterly data may not be as reliable as annual. U.S. movies and games are both non-cyclical industries from quarterly data Fortunately, through BoxOfficeMojo, we have continuous quarterly data on the US film industry. Once the quarterly data is used, the linear relationship between Special Databasec movie box office revenue and macro indicators such as GDP and disposable income disappears - R-Square has dropped from around 0.95 to around 0.01, which has lost any convincing; P-Value has risen sharply , the statistical significance is not established at all.