Table 4.

Values obtained after training with multiple linear regression prediction model.

Data set	Intercept	Coefficient (β_o, β_1, β_2)	Score ($R^2$)	Mean Absolute Error (MAE)	Mean Squared Error (MSE)	Root Mean Squared Error (RMSE)
Odisha	−21.972463	[0.78035157, −0.45427124, 13.57489689]	0.9985	45.5734759e-06	3826.5455326712213e-06	61.85907801342679e-06
India	−3.259629011154175e-09	[-1,1,1]	1.0	2.6540334374658414e-09	7.735857208018085e-18	2.7813409010795647e-09

Bold indicates R-squared or Coefficient of Multiple Determination.