Table 3 SAS results for the cumulative regression Model #1 Testing global hypothesis: BETA = 0 60 Table 2 Saw kerf and teeth width characteristics (mm) for non-powered and electrical saws Analysis of maximum likelihood estimates: log it½PðY jÞ ¼ aj þ bx: Table 4 SAS results for the cumulative regression Model #2 Analysis of maximum likelihood estimates: log it½PðY jÞ ¼ aj þ b1x1 þ b2x2; 123 Forensic Sci Med Pathol (2011) 7:53–62 Average kerf Teeth width Difference between av. kerf and teeth Standard error Wald Chi-square Pr [ ChiSq Kerf range 1.397–1.829 0.711–1.020 1.067–1.245 0.914–1.041 0.889–1.143 1.397–1.575 2.210–3.150 2.667–2.870 0.660–0.864 1.270–1.473 DF 1 1 1 1 1 1 1 1 1 1 DF 1 1 1 1 1 1 1 1 1 1 1 1.410 0.813 1.118 0.965 0.991 1.448 2.718 2.794 0.737 1.346 Chi-square 241.7532 78.1015 68.7759 Estimate 11.8983 13.9035 15.4594 17.0854 19.5395 21.9773 23.7759 30.9098 44.2137 15.8759 351.6629 82.6585 28.6652 Estimate 32.7390 38.5349 43.2165 45.1196 51.4665 61.6239 67.0395 85.7253 118.9 12.7198 34.6266 Saw types Hand saw Hack saw Meat saw Bow saw M. cut-off Reciprocating Skill saw Cut-off saw P. band saw Jig saw Test Likelihood ratio Score Wald Parameter Intercept 1 Intercept 2 Intercept 3 Intercept 4 Intercept 5 Intercept 6 Intercept 7 Intercept 8 Intercept 9 Kerf mean (mm) Test Likelihood ratio Score Wald Parameter Intercept 1 Intercept 2 Intercept 3 Intercept 4 Intercept 5 Intercept 6 Intercept 7 Intercept 8 Intercept 9 Kerf mean (mm) Teeth Testing global hypothesis: BETA = 0 Chi-square DF Pr [ ChiSq 1.6204 1.7733 1.8966 2.0444 2.4128 2.6717 2.7845 4.3305 5.3890 1.9143 2 2 2 Standard error 6.5963 8.1150 8.9154 9.0023 10.6254 12.8314 13.7036 798.4 29.4648 3.6484 9.4667 1.397 0.660 1.067 0.914 0.889 1.397 2.082 2.667 0.660 1.143 DF 1 1 1 53.9194 61.4725 66.4385 69.8408 65.5813 67.6682 72.9106 50.9476 67.3120 68.7759 0.013 0.153 0.051 0.051 0.102 0.051 0.636 0.127 0.077 .203 Pr [ ChiSq \0.0001 \0.0001 \0.0001 \0.0001 \0.0001 \0.0001 \0.0001 \0.0001 \0.0001 \0.0001 \0.0001 \0.0001 \0.0001 Pr [ ChiSq \0.0001 \0.0001 \0.0001 \0.0001 \0.0001 \0.0001 \0.0001 0.9145 \0.0001 0.0005 0.0003 \0.0001 \0.0001 \0.0001 Wald Chi-square 24.6339 22.5493 23.4971 25.1202 23.4615 23.0647 23.9328 0.0115 16.2826 12.1548 13.3791