The third is P-Value, which reflects the statistical significance of the linear relationship. The smaller the P-Value, the more Special Database likely there is a linear relationship between the independent variable and the dependent variable. Academically, P-Value generally needs to be less than 0.05 to be meaningful; it can be appropriately relaxed in practice. The movie box office data in the United States is very complete. We used all the annual data since 1980 to Special Database carry out regression analysis and came to the conclusion that: looking at the annual unit, the U.S. movie industry is a strong cyclical industry.
And macroeconomic data and movies The correlation coefficient of box office receipts is large, explanatory, and Special Database statistically significant. Similar conclusions can be drawn whether using GDP, household disposable income or total personal expenditure as independent variables. Sorry, there is really no "lipstick effect" in the media and entertainment industry! What's more, the conclusions of the regression analysis are the same regardless Special Database of whether the macro data of the current period or the previous period are used. This shows that macro data such as GDP not only affects.
The box office of the current year, but also has a forward-looking perspective on the box office of the next year. In fact, Special Database even with the naked eye, you can see that the data points jointly defined by U.S. movie box office receipts and GDP, or residents’ disposable income, fall on an almost perfect line, a linear relationship that statisticians can only dream of. Sorry, there is really no "lipstick effect" in the media and entertainment industry! The authoritative statistics of the game industry (including console games, computer games and mobile games) in the United States Special Database 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,