author(s)
Rojalin Pani and Aiswaryaditya Das

abstract
The turmeric market\r\nin Odisha, rooted in traditional agriculture and increasingly influenced by\r\nmodern supply chains, presents a compelling case for data-driven insight. This\r\nstudy applies multiple linear regression analysis to a dataset of 719 observations,\r\naiming to identify and quantify the key variables influencing market\r\nperformance. With an R² value of 0.62 and high statistical significance (p <\r\n0.000), the model reveals that factors such as farm-gate pricing, rainfall\r\nvariability, transportation access, cooperative participation, and market\r\nlinkages significantly impact turmeric yield and pricing outcomes. The findings\r\noffer a robust analytical foundation for policymakers, agribusinesses, and\r\nfarmer cooperatives to make informed interventions, foster value addition, and\r\nenhance market efficiency. By translating correlation into actionable clarity,\r\nthis research underscores the power of regression analysis in shaping\r\nsustainable agricultural strategies for Odisha’s turmeric sector.