Role of Multiple Regression in Predicting Economic Growth: A Panel Study of Kenya (2020–2025)

• Author(s): Samuel Omondi Otieno ; Dr. Yasin Ghabon
• Paper ID: 1709930
• Page: 1550-1552
• Published Date: 04-08-2025
• Published In: Iconic Research And Engineering Journals
• Publisher: IRE Journals
• e-ISSN: 2456-8880
• Volume/Issue: Volume 9 Issue 1 July-2025

Abstract

The study provides multiple regression analysis of the economic growth determinants in Kenya using panel data observations between 2020 and 2025. Through the aspect of investment, government spending, inflation, openness to trade, and human capital, it examines how such macroeconomic factors affect the growth of Gross Domestic Product (GDP). This system of analysis is done through a panel-data modus and is complemented with case studies at county level in Nairobi, Mombasa, and Kisumu to provide regional dispensations. The findings explain that investment and trade openness are positively critical when it comes to GDP growth, but the inflation has a negative impact. These data emphasize the significance of selective investment, better so-called facilitation of trade, and a consciously motivated human capital build-up as means of advancing growth on a sustainable and inclusive basis.

Citations

IRE Journals:
Samuel Omondi Otieno , Dr. Yasin Ghabon "Role of Multiple Regression in Predicting Economic Growth: A Panel Study of Kenya (2020–2025)" Iconic Research And Engineering Journals Volume 9 Issue 1 2025 Page 1550-1552

IEEE:
Samuel Omondi Otieno , Dr. Yasin Ghabon "Role of Multiple Regression in Predicting Economic Growth: A Panel Study of Kenya (2020–2025)" Iconic Research And Engineering Journals, 9(1)