International Journal of Social Science & Economic Research
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Title:
MEDIA TREND ANALYSIS

Authors:
Shaoyu Zhang

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Shaoyu Zhang
The Barstow School, Ningbo Campus, China

MLA 8
Zhang, Shaoyu. "MEDIA TREND ANALYSIS." nt. j. of Social Science and Economic Research, vol. 6, no. 6, June 2021, pp. 1769-1777, doi.org/10.46609/IJSSER.2021.v06i06.010. Accessed June 2021.
APA 6
Zhang, S. (2021, June). MEDIA TREND ANALYSIS. nt. j. of Social Science and Economic Research, 6(6), 1769-1777. Retrieved from doi.org/10.46609/IJSSER.2021.v06i06.010
Chicago
Zhang, Shaoyu. "MEDIA TREND ANALYSIS." nt. j. of Social Science and Economic Research 6, no. 6 (June 2021), 1769-1777. Accessed June, 2021. doi.org/10.46609/IJSSER.2021.v06i06.010.

References

[1]. Linear Regression Using R: An Introduction to Data Modeling, David J. Lilja, 2016
[2]. R tutorial: https://www.tutorialspoint.com/r/r_mean_median_mode.htm
[3]. Digital Marketing Data from Kaggle: https://www.kaggle.com/ashydv/media-company-case-study-linear-regression/data
[4]. All of statistics: A concise course in statistical inference. Wasserman, L. (2010), New York: Springer.
[5]. Social Media Utilization in Business-to-Business Relationships of Technology Industry Firms. Computers in Human Behavior, 2014
[6]. TV News: Whose Bias??: A Casebook Analysis of Strikes, Television and Media Studies.
[7]. Routledge, 2020.

Abstract:
With the advent of information era, media has become more and more important in our daily life. In this project, with the statistics of a commercial TV show as an example, I statistically analyzed the potential driving forces behind the decline of the TV show viewership. Specifically, I first examined the linear relationship between potential variables and the TV show viewership, based upon which, I come up with some statistical factor to make TV show viewership prediction. After an examination and some analysis on the regression result, I conclude that the presence of a specific character and the presence of some competing shows don’t have significant effects on the decline of the TV viewership. I also conclude that the budget of the show has positive but minor effect on the boost of the viewership. Those findings are also consistent with my background research.

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