Figure 7. Synchrony between the models fitted to rice yield and precipitation data (a) Sum of sine model fitted to rice yield data, (b) Fourier model fitted to the precipitation data
The simple linear regression of rice production in R shows that 56.51% of its variability is explained by population. The estimate of population (1) is statistically significant with a p-value of 3.32 x 10-5. The RMSE is 3.312098 x 10-13. The estimates (0 and 1) from the regression of rice onto population results in Equation 15 for future predictions. The model is statistically significant with a p-value of 3.321 x 10-5.