Table 5.

Results of RMSPE analysis for lever and statistical bite force (BF) prediction models. Square roots of the mean square prediction error (RMPSE) are shown as a percentage of their respective observed means, and are decomposed into components of bias (ECT), error owing to deviation of the slope from unity (ER), and random error (ED), all expressed as percentages of RMSPE

		Predicted BF			MSPE
Location	Equation	Mean	SEM	RMSPE, %	ECT %	ER %	ED %	R2
Molar	Kiltie (1984), Eq. 1b	755	45.0	68.5	80.2	13.0	6.8	0.77
	Thomason (1991), Eq. 2b	849	62.3	63.5	79.0	8.0	13.1	0.64
	Adjusted Kiltie (1984), Eq. 3	1949	158	18.7	0.0	0.1	99.9	0.77
	Adjusted Thomason (1991), Eq. 4	2036	173	24.7	3.1	8.0	88.9	0.64
	Adjusted Kiltie (1984), Eq. 7	1951	203	21.4	0.0	24.8	80.8	0.77
	Adjusted Thomason (1991), Eq. 8	1952	223	29.3	0.0	38.5	61.5	0.64
	Eq. 11	1960	166	33.5	0.0	15.6	84.4	0.36
	Eq. 12	1958	169	35.2	0.0	19.1	80.9	0.32
	Eq. 13	1952	163	15.4	0.0	0.0	100	0.84
	Eq. 14	1951	170	11.6	0.0	0.0	100	0.91
	Eq. 15	1951	172	10.0	0.0	0.0	100	0.93
	Eq. 16	1952	173	9.27	0.0	0.0	100	0.94
	Eq. 17	1951	173	8.50	0.0	0.0	100	0.95
Canine	Kiltie (1984), Eq. 1a	300	20.7	55.7	68.0	6.3	25.7	0.52
	Thomason (1991), Eq. 2a	340	28.2	51.4	56.5	0.1	43.4	0.31
	Adjusted Kiltie (1984), Eq. 5	571	36.9	28.6	1.1	0.2	98.7	0.52
	Adjusted Thomason (1991), Eq. 6	588	40.6	35.4	2.9	5.8	91.4	0.31
	Adjusted Kiltie (1984), Eq. 9	555	74.2	39.5	0.0	50.9	49.1	0.52
	Adjusted Thomason (1991), Eq. 10	555	95.6	60.7	0.0	72.6	32.9	0.31
	Eq. 18	555	38.6	40.4	0.0	13.0	87.0	0.14
	Eq. 19	555	40.2	26.9	0.0	0.0	100	0.57
	Eq. 20	555	42.1	25.2	0.0	0.0	100	0.62
	Eq. 21	553	42.2	25.1	0.0	0.0	100	0.62
	Eq. 22	554	43.8	23.4	0.0	0.0	100	0.67
	Eq. 23	554	44.8	22.3	0.0	0.0	100	0.70
	Eq. 24	554	45.8	21.0	0.0	0.0	100	0.74
	Eq. 25	554	46.4	20.3	0.0	0.0	100	0.75