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@article{187298,
        author = {Dr. Vanita Suresh Lingayat},
        title = {Regression Analysis in Microfinance: A Comprehensive Study},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {6},
        pages = {4834-4836},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=187298},
        abstract = {Microfinance plays a crucial role in enhancing financial inclusion, supporting entrepreneurship, and enabling socio-economic development, especially among low-income households and women from marginalized communities. This study evaluates the impact of microfinance services using regression analysis to understand the relationship between credit access, savings participation, financial literacy, interest rates, and borrower outcomes such as income growth, asset accumulation, and decision-making autonomy. Multiple linear regression estimates the influence of microfinance variables on income and economic stability, while logistic regression measures the probability of achieving empowerment indicators. Findings reveal that loan size, financial literacy training, and savings membership positively influence income levels and economic resilience. The research confirms that regression methods offer a robust analytical framework for assessing microfinance performance and guiding evidence-based policy interventions aimed at poverty reduction and women’s economic empowerment.},
        keywords = {Microfinance, Regression Analysis, Economic Empowerment, Financial Inclusion, Loan Size, Savings, Women Empowerment, Income Growth.},
        month = {November},
        }