Table 4. Mathematical relationships for swelling capacities at different temperatures

Sample1)	Polynomial equation	Regression2)
		R2	R12	R22	R32	R42
CM	y = 0.119x2 − 9.15x + 212.66	0.9623	0.7745	0.8349	0.6408	0.7359
CMCF	y = 0.127x2 − 9.86x + 239.17	0.9502	0.7587	0.8053	0.6257	0.7013
CMDF	y = 0.112x2 − 9.48x + 215.34	0.9457	0.6878	0.8001	0.5465	0.677
CMDCF	y = 0.066x2 − 4.13x + 106.86	0.9171	0.8152	0.8412	0.703	0.7619
CF	y = −0.039x2 + 7.19x − 127.83	0.9916	0.9228	0.8625	0.982	0.9495
DCF	y = 0.009x2 − 0.719x + 32.56	0.9771	0.7304	0.8125	0.592	0.6829

CM, 70% Cassava mash + 30% water; CMCF, 68% + 2% cocoa powder + 30% water; CMDF, 54% cassava mash + 16% desiccated coconut + 30% water; CMDCF, 52% cassava mash + 16% desiccated coconut + 2% cocoa powder + 30% water; CF, 100% cocoa flour; DCF, 100% desiccated coconut flour.
Regression for polynomial: R12, regression for linear; R22, regrsession for exponential; R32, regression for logarithmic; R42, regression for power law.