Correlation Analysis of Population Educational Structure and Program Audience Share Based on Multisample Regression for Correction

Abstract

In order to solve the problem of mismatch of supply and demand of TV programs in different regions, this article attempts to start with the influencing factors of the demand structure of programs and explore ways to improve or solve this problem of mismatch of supply and demand. The population needs to accurately correlate with the TV program, and educational structure is mainly taken into consideration. The objective of this study is to analyze the correlation between the population’s educational structure and the share of program rating using sampling of population. The method of multisample regression is used with the combination and derives the conclusion that the educational structure of the population has a significant impact on the share of program ratings. The proposed method introduces the population and the share of program ratings as explanatory variables and explained variables into the regression model to verify whether the educational structure of the population will affect the share of program ratings. Both the full-sample benchmark regression and robustness test results show that the educational structure of the population does affect the show’s viewing share. The impact is mainly manifested in the difference in the impact of the proportion of the population of different educational backgrounds on the audience share of the same type of program. In order to increase the effective supply of programs, each region should arrange programs according to local conditions, and the presentation of programs should reflect stepped characteristics.