Abstract: The study "Regression Analysis on Financial Statements at Konigtronics Pvt Ltd" investigates the role of regression analysis in improving financial statement comparability and effectiveness. The study focuses on identifying important profitability factors, estimating future financial performance, and defining the most often analysed financial accounts. Using primary data from surveys and secondary data from firm records, the study does multiple regression analyses to identify key profitability predictors. The key findings show that quantifying correlations between financial variables is the most successful way (40%) for identifying profitability drivers, followed by analysing cash flow patterns (25%), and comparing industry benchmarks (20%). Cash flow statements are the most often analysed financial statements (25%). The study emphasises the need of using standardised regression models and conducting regular financial analyses to improve financial reporting. The study suggests that regression analysis greatly improves financial statement quality and reliability, allowing for better decision-making and strategic planning. Companies that apply standardised models and invest in financial team training can produce transparent, comparable, and successful financial reporting. This study emphasises the need of correct financial data and ongoing professional growth in utilising regression approaches to improve financial outcomes.
Keywords: Regression Analysis, Statistical tools, Forecasting, Decision making, profitability and Financial statement Analysis.
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DOI:
10.17148/IJARCCE.2025.14365
