Time series analysis reveals soybean production trends using statistical models, highlighting suitability indicators.
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.
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Chaudhary et al. (2025) studied this question.
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