Case with speciality internalChina= 1.0000000 Use the best fit of semi and lnln Total industries used is 466.00000 Number for which lnln is the best fit is 39.000000 ********************************** Chinanewcat= 1.0000000 ********************************** Chinanewcat= 2.0000000 ********************************** Chinanewcat= 3.0000000 ********************************** Chinanewcat= 4.0000000 ********************************** Chinanewcat= 5.0000000 ********************************** Chinanewcat= 6.0000000 meansbase china base(approx) China(approx) RTMonly RTM+China RTM+CHINA+ne wpop 5.38 3.04 5.45 3.04 4.63 2.68 2.53 3.82 3.31 3.77 3.25 3.30 2.90 2.75 6.02 5.73 6.06 5.76 4.99 4.76 4.55 5.37 5.24 5.50 5.37 4.67 4.57 4.31 8.14 8.13 8.09 8.07 6.52 6.51 6.27 6.14 6.14 6.22 6.22 5.16 5.16 4.91 mediansbase china base(approx) China(approx) RTMonly RTM+China RTM+CHINA+ NEWpop 3.20 1.83 3.22 1.79 2.78 1.69 1.59 2.46 2.16 2.37 2.06 2.20 1.88 1.82 2.68 2.58 2.72 2.62 2.34 2.27 2.16 3.07 3.00 3.38 3.23 2.79 2.72 2.58 3.60 3.59 3.67 3.64 3.11 3.10 2.93 2.94 2.94 2.91 2.91 2.53 2.53 2.40 ratio of means Chinaonly RTMonly China+RTM China+RTM+newpop 0.56 0.85 0.49 0.46 0.86 0.88 0.77 0.73 0.95 0.82 0.79 0.75 0.98 0.85 0.83 0.78 1.00 0.81 0.81 0.77 1.00 0.83 0.83 0.79 ratio of medians Chinaonly RTMonly China+RTM China+RTM+newpop 0.56 0.86 0.52 0.50 0.87 0.93 0.79 0.77 0.96 0.86 0.83 0.79 0.95 0.83 0.81 0.76 0.99 0.85 0.84 0.80 1.00 0.87 0.87 0.82 datameans 4.76 2.56 3.79 2.81 5.84 5.14 4.99 4.41 7.71 6.66 5.62 4.60 medians 3.24 1.75 2.62 1.71 2.70 2.35 3.41 2.75 3.43 2.91 3.02 2.48 LQ97, LQ07/LQ97 means 4.76 0.54 3.79 0.74 5.84 0.88 4.99 0.88 7.71 0.86 5.62 0.82 LQ97, LQ07/LQ97 medians 3.24 0.54 2.62 0.65 2.70 0.87 3.41 0.81 3.43 0.85 3.02 0.82 numsim=10000.00 -1017.55 minutes