Statistical Modeling and Trend Analysis of Soybean Production in Selected States of India
In the present paper, the time series analysis of Soybean production in some selected states of India has been carried out by fitting statistical models, viz. linear, exponential, Quadratic and cubic models. The secondary time series data on the production of soybean have been utilized for the analysis. The trend values have been evaluated by fitting the concerned models, and the validity of the models has been tested by using the Chi-square (x2) test statistic. Moreover, the coefficient of determination (R2), root mean square error (RMSE), and relative mean absolute percentage error (RMAPE) have been computed to reveal the suitability of the concerned models for exploring the trend patterns of soybean production in the concerned states of India.
Authors
- Pradeep Chaudhary (ORCID: https://orcid.org/0009-0003-6475-0628)
- Manish Kumar (ORCID: https://orcid.org/0000-0002-4989-1612)
- Gyan Prakash
Institutions
- Acharya N. G. Ranga Agricultural University (IN)
- Acharya Narendra Deva University of Agriculture and Technology (IN)
Publication Details
- Journal
- Journal of Scientific Research and Reports
- Published
- 2025-08-04
- DOI
- https://doi.org/10.9734/jsrr/2025/v31i83379
- Primary Topic
- Agricultural Economics and Practices
- Type
- article
- Field-Weighted Citation Impact
- 0.00