The NLIN Procedure Dependent Variable elasticity Method: Gauss-Newton Iterative Phase Sum of Iter b0 b1 b2 Squares 0 1.0000 1.0000 0.000400 2938596 1 1.0973 0.9802 0.000408 2933582 2 1.1588 0.9688 0.000413 2911056 3 1.2366 0.9552 0.000419 2889953 4 1.3350 0.9390 0.000425 2872539 5 1.4591 0.9201 0.000433 2861544 6 1.6153 0.8984 0.000442 2859834 7 1.7132 0.8861 0.000447 2834357 8 1.8364 0.8715 0.000453 2810513 9 1.9912 0.8543 0.000461 2790477 10 2.1850 0.8346 0.000469 2776599 11 2.4267 0.8121 0.000478 2770952 12 2.5763 0.7996 0.000484 2740820 13 2.7635 0.7848 0.000490 2711531 14 2.9970 0.7676 0.000497 2684877 15 3.2866 0.7480 0.000506 2662600 16 3.6437 0.7259 0.000515 2645942 17 4.0804 0.7016 0.000526 2635172 18 4.6092 0.6753 0.000537 2629230 19 5.2426 0.6475 0.000549 2625684 20 5.9930 0.6185 0.000562 2621011 21 6.8715 0.5888 0.000575 2611135 22 7.8881 0.5590 0.000588 2592035 23 9.0513 0.5293 0.000601 2560260 24 10.3670 0.5000 0.000615 2513285 25 11.8387 0.4716 0.000628 2449683 26 13.4660 0.4441 0.000640 2369156 27 15.2452 0.4177 0.000652 2272468 28 17.1678 0.3926 0.000664 2161306 29 21.2747 0.3452 0.000686 2130793 30 24.7998 0.3128 0.000702 1958561 31 31.2581 0.2624 0.000727 1804758 32 40.0716 0.2095 0.000753 1504378 33 58.0812 0.1301 0.000795 1013461 34 66.0934 0.1210 0.000804 210605 35 66.8494 0.1206 0.000803 205595 36 66.7749 0.1208 0.000803 205595 37 66.7950 0.1207 0.000803 205595 38 66.7897 0.1208 0.000803 205595 NOTE: Convergence criterion met. The NLIN Procedure Estimation Summary Method Gauss-Newton Iterations 38 Subiterations 68 Average Subiterations 1.789474 R 3.538E-6 PPC(b1) 0.000033 RPC(b1) 0.000123 Object 1.32E-10 Objective 205595.1 Observations Read 17 Observations Used 17 Observations Missing 0 NOTE: An intercept was not specified for this model. Sum of Mean Approx Source DF Squares Square F Value Pr > F Model 3 70739239 23579746 1605.66 <.0001 Error 14 205595 14685.4 Uncorrected Total 17 70944834 Approx Approximate 95% Confidence Parameter Estimate Std Error Limits b0 66.7897 107.5 -163.8 297.4 b1 0.1208 0.2997 -0.5220 0.7635 b2 0.000803 0.000082 0.000628 0.000978 Approximate Correlation Matrix b0 b1 b2 b0 1.0000000 -0.9984874 0.9490697 b1 -0.9984874 1.0000000 -0.9647963 b2 0.9490697 -0.9647963 1.0000000