Applications of Multiple Linear Regression in Social Medias Related Marketing
DOI:
https://doi.org/10.54097/fvz9kr59Keywords:
Multiple Linear regression; Social medias; Marketing.Abstract
In a market, what the sellers care the most is their budgets and their sales. They need to know how to make more money. In order to do this, they need to find ways to compare different plans and the results they get from them. For selling products, advertisement is indeed an important part. This paper compares three different social medias, trying to decide which is the best way to invest for advertisement: newspaper, facebook, or youtube. By examining the regression statistics, this paper shows how to use multiple linear regression to make the best marketing decisions when it comes to advertising. Particularly in this case, the preferable order of spending budgets on the social medias for advertisement is facebook or youtube, and lastly newspaper. It also compares single and multiple linear regression, and it is found that the latter is more important. This paper provides people with helpful information to sell their products properly.
Downloads
References
[1] Nimon, Kim F., Frederick L. Oswald. Understanding the Results of Multiple Linear Regression: Beyond Standardized Regression Coefficients. Organizational Research Methods, 2013, 16(4), 650–74.
[2] Taras Shevchenko National University of Kyiv, Yu. Braychevskyy. The use of regression analysis in human-geographic studies: the case of electoral behavior analysis. Ekonomichna ta Sotsialna Geografiya, 2014, 70: 66–72.
[3] Casson, Robert J., and Lachlan Dm Farmer. Understanding and Checking the Assumptions of Linear Regression: A Primer for Medical Researchers. Clinical & Experimental Ophthalmology, 2014, 42(6): 590–96.
[4] Pervez Asif and Irfan Ali. Robust Regression Analysis in Analyzing Financial Performance of Public Sector Banks: A Case Study of India. Annals of Data Science, 2024, 11(2): 677–91.
[5] Anita Mfuh Y. Lukong and Yahaya Jafaru. Covid-19 Pandemic Challenges, Coping Strategies And Resilience Among Healthcare Workers: A Multiple Linear Regression Analysis. African Journal of Health, Nursing and Midwifery, 2021, 4(1): 1-18.
[6] Paik, Songyi. The U.S. Consumption Analysis: Using a Linear Regression Model. Proceedings of GREAT Day, 2016, 2015(1): 21.
[7] Bolin, Jocelyn H. Regression analysis in R: a comprehensive view for the social sciences. First edition, CRC Press, Taylor & Francis Group, 2023.
[8] Luigi Dumirescu, Oana Stanciu, MihaiTichindelean, and Simona Vinerean. Additional contact information. Studies in Business and Economics, 2012, 7(2): 94-109
[9] Tibshirani, R. Regression shrinkage and selection via the lasso. Journal of the Royal Statistical Society: Series B (Methodological), 1996, 58(1): 267–288.
Downloads
Published
Issue
Section
License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
