Investment Dynamics of the Samarkand Region: Analysis and Forecast Using a Polynomial Model
Abstract
The economic development of any region relies heavily on investment since it affects growth along with employment and infrastructure development. The research examines the investment trends in Samarkand region and generates predictions through polynomial modeling. We build a polynomial regression model based on historical investment data to detect investment trends and estimate future investment directions. The investigation determines model precision through comparison against different forecasting methods and examination of primary economic elements that influence investment. The results present essential information for policymakers together with investors and economic planners to make well-informed regional investment strategy decisions.
Keywords
Investment dynamics, polynomial model, forecastingHow to Cite
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