Application of Regression Analysis in Forecasting Mobile Broadband Subscriptions Growth for Malaysia

Abstract

This paper forecasts the growth of Mobile Broadband Subscriptions in Malaysia using regression analysis, specifically focusing on linear regression to model trends. The analysis considers factors such as Mobile Broadband Traffic usage and Fixed Broadband Traffic, especially as the 5G network expands and Mobile Broadband becomes a potential alternative for enterprise and education sectors seeking faster broadband solutions. The study also examines Fixed Broadband Traffic in the context of Fixed Mobile Convergence, which impacts Mobile Broadband Subscription growth rates, necessitating the use of multiple linear regression analysis. This work provides a strategic growth plan for Mobile Broadband Subscriptions, highlighting the potential impact of growth trends. Exponential regression is also applied, offering readers a better understanding and the ability to choose results and analyses that best suit their business needs. Trendline reliability is assessed to measure how well the trendline fits the data, enhancing the accuracy of the regression model. For telecommunication companies, this analysis can help identify potential addressable markets and guide network expansion decisions, as well as inform the development of new mobile broadband plans. Original Equipment Manufacturers (OEMs) can use this information to introduce cost-effective mobile broadband devices, while enterprises can strategize their digital transformation efforts based on the findings. The forecast suggests that Mobile Broadband Subscriptions in Malaysia will reach 45.6 million by the second quarter of 2024.