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

Table 7

Analysis of variance for quadratic regression equation T₂.

Factors	Sum of squares of deviations	Degrees of freedom	Mean square error	F	(Prob > F)
Model	798.09	9	88.68	1137.67	0.0361	Significant
Rotation speed A	649.64	1	649.64	8334.49	0.0081	Significant
Feed speed B	79.52	1	79.52	1020.25	0.0324	Significant
Milling depth C	40.80	1	40.80	523.49	0.0101	Significant
AB	5.000E − 003	1	5.000E − 003	0.064	0.4933
AC	0.18	1	0.18	2.31	0.2976
BC	0.080	1	0.080	1.03	0.5736
A^2	26.82	1	26.82	344.04	0.0004
B^2	3.19	1	3.19	40.94	0.0007
C^2	1.66	1	1.66	21.32	0.1472
Residual	0.78	10	0.078
Misfit term	0.17	5	0.034	0.28	0.4084	Significant
Pure error	0.61	5	0.12