Regression Analysis and Forecasting with Regression Model in Economics
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Abstract
This work aims to provide a mathematical model that can be applied to prediction and defines this relationship. It helps economists understand how different factors influence economic indicators such as GDP, inflation, unemployment, and market trends. Forecasting using regression models provides valuable insights for policy-making, business strategies, and economic planning.
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Regression analysis; Forecasting Models; Regression model; Lines of Regression; Regression Equation; Multiple Regression Equation

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How to Cite
Kumar, N. K., Shah, R. K., & Sahani, S. K. (2025). Regression Analysis and Forecasting with Regression Model in Economics. Mikailalsys Journal of Advanced Engineering International, 2(2), 159-170. https://doi.org/10.58578/mjaei.v2i2.5401

Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
References
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Box, G. E. P., Jenkins, G. M., & Reinsel, G. C. (2015). Time Series Analysis: Forecasting and Control (5th ed.). Wiley.
Wooldridge, J. M. (2020). Introductory Econometrics: A Modern Approach (7th ed.). Cengage Learning.
Stock, J. H., & Watson, M. W. (2019). Introduction to Econometrics (4th ed.). Pearson.
Greene, W. H. (2018). Econometric Analysis (8th ed.). Pearson.
Chatterjee, S., & Hadi, A. S. (2015). Regression Analysis by Example (5th ed.). Wiley.
Enders, W. (2014). Applied Econometric Time Series (4th ed.). Wiley.
Dougherty, C. (2016). Introduction to Econometrics (5th ed.). Oxford University Press.
Box, G. E. P., Jenkins, G. M., & Reinsel, G. C. (2015). Time Series Analysis: Forecasting and Control (5th ed.). Wiley.


















