Regression Analysis and Forecasting with Regression Model in Economics
Main Article Content
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.
Keywords:
Share Article:

Regression analysis; Forecasting Models; Regression model; Lines of Regression; Regression Equation; Multiple Regression Equation

Citation Metrics:
Downloads
Download data is not yet available.
Citation Metrics & Similar Scopus Articles
Data source
Crossref
1
citations
Citation counts are source-specific and may differ because database coverage, reference matching, and update schedules are different. Counts are not added together. Crossref values represent citation links registered and matched by Crossref.
Check Secondary Documents in Scopus
Open this article in Scopus, then check the Secondary documents tab. Use Manual Citation Fallback only for counts you have verified manually.
Open in Scopus
Similar Scopus Articles
Scopus
-
Prada S.I. (2027)Missing in action: unaddressed cost-of-illness studies in Colombia – A 30-year reviewBiomedica, 47(1)
-
Thu T.T.T. (2027)Management accounting effectiveness in tourism enterprises: The roles of technology readiness, information technology infrastructure, and data quality in an ai-driven business environmentMultidisciplinary Science Journal, 9(1)
-
Shiryazdi R.S. (2027)Assessing performances of pattern informatics method variants: a comparative analysis in Zagros, IranIranian Journal of Geophysics, 20(3), 65-80
Article Details
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
Gujarati, D. N., & Porter, D. C. (2009). Basic Econometrics (5th ed.). McGraw-Hill.
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.
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.


















