• Mrs Rajeshri Arun Puranik
• Dr.S.S.Pokley

The advancement in technology has seen a rise in the number of social networking sites and their distinct features. These social networking sites appear to have become rivals of one another and in order to remain in the competition, their features are updated frequently. These features are utilized by the end-users for communication, irrespective of the technical algorithms implemented behind these features. The portability of common features reflects the dependencies and can be measured using regression analysis. Data analytics collected from respective domain experts using a designed survey can provide the intercept values of regression analysis. A two-person game theory model is the best optimization tool to plan their strategies in terms of competitors sharing common features. This research work aims to provide the intercept values calculated from the concept of regression analysis, as supplements for the payoff values of a Game theory model. The bridge between the two domains can be proved by the characteristics of the intercept which can be served as the payoff value..

Data Analytics, Intercept, Payoff, Game theory

"USABILITY OF INTERCEPT VALUES OF REGRESSION ANALYSIS AS THE PAYOFF VALUES OF GAME THEORY MODEL", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 4, page no.a418-a421, April-2022, Available :http://www.jetir.org/papers/JETIR2204053.pdf

"USABILITY OF INTERCEPT VALUES OF REGRESSION ANALYSIS AS THE PAYOFF VALUES OF GAME THEORY MODEL", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 4, page no. ppa418-a421, April-2022, Available at : http://www.jetir.org/papers/JETIR2204053.pdf