Prediction Modeling and Sensitivity Analysis of Robot Bone Milling Temperature Operated by a Doctor

Table 8

Analysis of variance for quadratic regression equation T₃.

Factors	Sum of squares of deviations	Degrees of freedom	Mean square error	F	(Prob > F)
Model	781.71	9	86.86	912.73	0.0351	Significant
Rotation speed A	638.40	1	638.40	6708.62	0.0106	Significant
Feed speed B	76.18	1	76.18	800.49	0.0091	Significant
Milling depth C	37.25	1	37.25	391.43	0.0263	Significant
AB	1.250E − 003	1	1.250E − 003	0.013	0.9110
AC	0.10	1	0.10	1.06	0.3266
BC	0.10	1	0.10	1.06	0.3266
A^2	28.80	1	28.80	302.68	<0.0001
B^2	3.41	1	3.41	35.84	0.0001
C^2	2.05	1	2.05	21.55	0.0009
Residual	0.95	10	0.095
Misfit term	0.54	5	0.11	1.33	0.3808	Not significant
Pure error	0.41	5	0.082