Table 3.

Results of GAM regression.

States	Parameter	Estimates	p-value
Andhra Pradesh	Intercept, ${\beta }_0$	−28.10783	0.2132
	AT, ${\beta }_1$	0.88819	0.1817
	ARH, ${\beta }_2$	0.49752	0.2597
	MaxT, ${\beta }_3$	−0.05697	0.5006
	MinT, ${\beta }_4$	0.13458	0.0712
	ATxARH, ${\beta }_5$	0.01415	0.2932
Delhi	Intercept, ${\beta }_0$	9.999257	0.216
	AT, ${\beta }_1$	−0.036883	0.902
	ARH, ${\beta }_2$	−0.207407	0.237
	MaxT, ${\beta }_3$	−0.103124	0.126
	MinT, ${\beta }_4$	−0.084796	0.313
	ATxARH, ${\beta }_5$	0.008437	0.148
Gujrat	Intercept, ${\beta }_0$	−3.37997	0.8149
	AT, ${\beta }_1$	−0.01978	0.9621
	ARH, ${\beta }_2$	−0.38041	0.3559
	MaxT, ${\beta }_3$	0.0485	0.6484
	MinT, ${\beta }_4$	0.20924	0.0209a
	ATxARH, ${\beta }_5$	0.01318	0.2785
Madhya Pradesh	Intercept, ${\beta }_0$	−43.84455	0.0161a
	AT, ${\beta }_1$	1.42575	0.0171a
	ARH, ${\beta }_2$	1.21126	0.0341a
	MaxT, ${\beta }_3$	0.05988	0.6292
	MinT, ${\beta }_4$	0.01476	0.8649
	ATxARH, ${\beta }_5$	0.03761	0.0336a
Maharashtra	Intercept, ${\beta }_0$	−73.01116	0.08333
	AT, ${\beta }_1$	2.75604	0.04875a
	ARH, ${\beta }_2$	0.85921	0.14815
	MaxT, ${\beta }_3$	−0.31561	0.00205a
	MinT, ${\beta }_4$	0.10324	0.32944
	ATxARH, ${\beta }_5$	0.02675	0.16511
Punjab	Intercept, ${\beta }_0$	−32.17071	0.01551a
	AT, ${\beta }_1$	1.48788	0.00664a
	ARH, ${\beta }_2$	0.58497	0.00540a
	MaxT, ${\beta }_3$	0.01837	0.86233
	MinT, ${\beta }_4$	0.16984	0.18284
	ATxARH, ${\beta }_5$	0.02753	0.00058a
Rajasthan	Intercept, ${\beta }_0$	−2.751481	0.587
	AT, ${\beta }_1$	0.255311	0.23
	ARH, ${\beta }_2$	0.149194	0.394
	MaxT, ${\beta }_3$	−0.071146	0.413
	MinT, ${\beta }_4$	0.053367	0.366
	ATxARH, ${\beta }_5$	−0.004053	0.462
Tamil Nadu	Intercept, ${\beta }_0$	464.62175	0.0167a
	AT, ${\beta }_1$	−15.89823	0.0127a
	ARH, ${\beta }_2$	−6.79347	0.0115a
	MaxT, ${\beta }_3$	0.43246	0.0158a
	MinT, ${\beta }_4$	−0.09937	0.4576
	ATxARH, ${\beta }_5$	0.22832	0.0102a
Telangana	Intercept, ${\beta }_0$	1.562944	0.965
	AT, ${\beta }_1$	−0.100075	0.925
	ARH, ${\beta }_2$	0.217862	0.756
	MaxT, ${\beta }_3$	0.142809	0.292
	MinT, ${\beta }_4$	0.117128	0.322
	ATxARH, ${\beta }_5$	−0.009049	0.673
Uttar Pradesh	Intercept, ${\beta }_0$	4.354975	0.586
	AT, ${\beta }_1$	−0.066434	0.851
	ARH, ${\beta }_2$	0.020638	0.899
	MaxT, ${\beta }_3$	−0.064778	0.606
	MinT, ${\beta }_4$	0.189119	0.040a
	ATxARH, ${\beta }_5$	−0.00067	0.908
West Bengal	Intercept, ${\beta }_0$	18.65133	0.4096
	AT, ${\beta }_1$	−0.666464	0.3498
	ARH, ${\beta }_2$	−0.06807	0.7822
	MaxT, ${\beta }_3$	−0.008686	0.9179
	MinT, ${\beta }_4$	0.159345	0.0991
	ATxARH, ${\beta }_5$	0.002448	0.7522

^aSignificant with 95% confidence.