Hi all,
I ran 3 PL Model using. estat report, sort(b) byparm. I have 100 items so I want to earn 100 parameter estimates each for a, b, and c.
As you see the output below, I obtained 100 a-parameter coefficients and 100 b-parameter coefficients; however, the output did not generate 100 c-parameter coefficients. Why is it?
-------------------------------------------------------------------------------------------------------------------------
Three-parameter logistic model Number of obs = 200
Log likelihood = -12258.29
------------------------------------------------------------------------------
| Coef. Std. Err. z P>|z| [95% Conf. Interval]
-------------+----------------------------------------------------------------
Discrim |
T15 | .0523926 .1730233 0.30 0.762 -.2867269 .391512
T58 | .0451641 .1661719 0.27 0.786 -.2805268 .370855
T55 | -.2183593 .1935933 -1.13 0.259 -.5977952 .1610765
T62 | -.1647486 .1700435 -0.97 0.333 -.4980277 .1685304
T1 | .197391 .1664477 1.19 0.236 -.1288406 .5236225
T5 | -.0971884 .1588223 -0.61 0.541 -.4084743 .2140976
T85 | -.6609006 .3513625 -1.88 0.060 -1.349558 .0277573
T79 | -.1024164 .1577325 -0.65 0.516 -.4115664 .2067335
T33 | -.3181668 .1783016 -1.78 0.074 -.6676316 .031298
T78 | -.7574176 .2631631 -2.88 0.004 -1.273208 -.2416274
T57 | -.519887 .1841954 -2.82 0.005 -.8809032 -.1588707
T66 | -.6672569 .2040566 -3.27 0.001 -1.0672 -.2673132
T10 | -.6701026 .201546 -3.32 0.001 -1.065125 -.2750797
T19 | -.2924976 .164204 -1.78 0.075 -.6143314 .0293362
T14 | -.4339641 .1758682 -2.47 0.014 -.7786593 -.0892688
T96 | -1.186619 .2892693 -4.10 0.000 -1.753576 -.6196618
T64 | -.5464183 .1897837 -2.88 0.004 -.9183874 -.1744491
T25 | -.9898387 .2597996 -3.81 0.000 -1.499037 -.4806408
T77 | -.5213632 .1823417 -2.86 0.004 -.8787463 -.1639801
T28 | -.9517754 .2621651 -3.63 0.000 -1.465609 -.4379413
T44 | -.4659381 .1796719 -2.59 0.010 -.8180886 -.1137876
T42 | -.7029544 .1947349 -3.61 0.000 -1.084628 -.3212811
T2 | -.9556026 .225051 -4.25 0.000 -1.396694 -.5145109
T83 | -.528497 .1769627 -2.99 0.003 -.8753375 -.1816566
T49 | -.6268247 .1839989 -3.41 0.001 -.9874559 -.2661935
T9 | -.3225843 .1652759 -1.95 0.051 -.6465192 .0013505
T56 | -.1592433 .157961 -1.01 0.313 -.4688412 .1503546
T75 | -1.005759 .2271754 -4.43 0.000 -1.451014 -.5605032
T69 | -.7095499 .1948822 -3.64 0.000 -1.091512 -.3275879
T52 | -.9022717 .224288 -4.02 0.000 -1.341868 -.4626754
T34 | -.8942544 .2187932 -4.09 0.000 -1.323081 -.4654277
T45 | -.7780688 .1990496 -3.91 0.000 -1.168199 -.3879388
T81 | -.2785539 .1621542 -1.72 0.086 -.5963704 .0392625
T38 | -.9172671 .2219814 -4.13 0.000 -1.352343 -.4821916
T94 | -1.14856 .247269 -4.64 0.000 -1.633198 -.6639217
T7 | -.3012459 .1626356 -1.85 0.064 -.6200057 .017514
T71 | -1.212601 .2940319 -4.12 0.000 -1.788893 -.6363087
T26 | -1.527783 .3199615 -4.77 0.000 -2.154896 -.9006703
T23 | -1.164008 .245662 -4.74 0.000 -1.645497 -.682519
T99 | -.2664029 .1622392 -1.64 0.101 -.5843859 .0515801
T92 | -.1721813 .1575464 -1.09 0.274 -.4809665 .136604
T35 | -.7944193 .2023155 -3.93 0.000 -1.190951 -.3978882
T61 | -.9949855 .2317241 -4.29 0.000 -1.449156 -.5408145
T27 | -.338543 .1655689 -2.04 0.041 -.6630521 -.0140339
T17 | -.398253 .1698263 -2.35 0.019 -.7311065 -.0653996
T11 | -.7549207 .2044941 -3.69 0.000 -1.155722 -.3541196
T41 | -.6710437 .1939508 -3.46 0.001 -1.05118 -.2909072
T89 | -.2336826 .1601037 -1.46 0.144 -.5474801 .0801149
T80 | -.5900074 .1866615 -3.16 0.002 -.9558572 -.2241576
T47 | -.3705575 .1684208 -2.20 0.028 -.7006562 -.0404588
T39 | -.3093048 .1647567 -1.88 0.060 -.632222 .0136124
T48 | -.8192961 .2115798 -3.87 0.000 -1.233985 -.4046072
T20 | -.5170716 .179404 -2.88 0.004 -.8686969 -.1654463
T74 | -.1660597 .1577312 -1.05 0.292 -.4752072 .1430878
T3 | -.5293344 .1814117 -2.92 0.004 -.8848948 -.1737739
T13 | -.8647516 .2201505 -3.93 0.000 -1.296239 -.4332646
T43 | -.380489 .1690183 -2.25 0.024 -.7117588 -.0492192
T37 | -.8916874 .2223443 -4.01 0.000 -1.327474 -.4559006
T29 | -.2662271 .1630726 -1.63 0.103 -.5858435 .0533892
T82 | -.6565216 .1948082 -3.37 0.001 -1.038339 -.2747046
T30 | -.8158428 .2170987 -3.76 0.000 -1.241348 -.3903372
T68 | -.7862351 .2105041 -3.74 0.000 -1.198816 -.3736546
T91 | -.6650372 .1968244 -3.38 0.001 -1.050806 -.2792685
T6 | -.2372172 .1618963 -1.47 0.143 -.5545282 .0800938
T31 | -1.272167 .285587 -4.45 0.000 -1.831908 -.712427
T90 | -.0997593 .156486 -0.64 0.524 -.4064662 .2069476
T67 | -.7682389 .2099613 -3.66 0.000 -1.179756 -.3567224
T86 | -1.110332 .2692229 -4.12 0.000 -1.637999 -.5826649
T51 | -.3674287 .1709569 -2.15 0.032 -.7024979 -.0323594
T32 | -.5481266 .1889975 -2.90 0.004 -.9185549 -.1776983
T88 | -.2985854 .1656752 -1.80 0.072 -.6233028 .026132
T54 | -.4137504 .1760052 -2.35 0.019 -.7587143 -.0687865
T16 | -1.033798 .2622771 -3.94 0.000 -1.547851 -.519744
T8 | -.2017651 .1605435 -1.26 0.209 -.5164246 .1128944
T59 | -.3157642 .1681297 -1.88 0.060 -.6452923 .0137639
T18 | -.5392961 .1909712 -2.82 0.005 -.9135927 -.1649994
T87 | -.1759741 .159917 -1.10 0.271 -.4894058 .1374575
T100 | -.6878821 .2146139 -3.21 0.001 -1.108518 -.2672466
T97 | -.6127756 .2054961 -2.98 0.003 -1.015541 -.2100106
T21 | -1.216171 .3273373 -3.72 0.000 -1.85774 -.5746018
T73 | -.7471587 .23002 -3.25 0.001 -1.19799 -.2963278
T70 | -.457758 .1896007 -2.41 0.016 -.8293685 -.0861474
T4 | -.3398261 .1755878 -1.94 0.053 -.6839719 .0043196
T24 | -.5184207 .2048376 -2.53 0.011 -.919895 -.1169464
T12 | -.2309922 .1669866 -1.38 0.167 -.55828 .0962956
T95 | -.2724472 .1715667 -1.59 0.112 -.6087117 .0638173
T84 | -.3433131 .180909 -1.90 0.058 -.6978883 .0112621
T50 | -.1246283 .1587749 -0.78 0.432 -.4358213 .1865648
T72 | -.7703429 .2812504 -2.74 0.006 -1.321583 -.2191023
T65 | -.4297806 .2080739 -2.07 0.039 -.8375981 -.0219632
T60 | -.0969975 .1581413 -0.61 0.540 -.4069488 .2129538
T40 | -.1497979 .1635544 -0.92 0.360 -.4703585 .1707628
T93 | -.0707257 .1568526 -0.45 0.652 -.3781512 .2366997
T76 | -.2809345 .1877711 -1.50 0.135 -.6489591 .0870901
T63 | -.240785 .1804464 -1.33 0.182 -.5944534 .1128834
T36 | -.1965279 .1738785 -1.13 0.258 -.5373234 .1442676
T46 | -.052854 .1571251 -0.34 0.737 -.3608134 .2551054
T22 | -.074206 .1709494 -0.43 0.664 -.4092606 .2608486
T98 | -.038915 .1672542 -0.23 0.816 -.3667272 .2888972
T53 | -.0250048 .1702716 -0.15 0.883 -.358731 .3087214
-------------+----------------------------------------------------------------
Diff |
T15 | -18.52241 61.27814 -0.30 0.762 -138.6254 101.5805
T58 | -17.14282 63.13231 -0.27 0.786 -140.8799 106.5942
T55 | -5.558141 4.755812 -1.17 0.243 -14.87936 3.76308
T62 | -4.52322 4.69827 -0.96 0.336 -13.73166 4.685221
T1 | -3.717581 3.235227 -1.15 0.251 -10.05851 2.623348
T5 | -2.915259 5.154975 -0.57 0.572 -13.01883 7.188307
T85 | -2.784913 .9472773 -2.94 0.003 -4.641542 -.9282834
T79 | -2.361347 4.081378 -0.58 0.563 -10.3607 5.638006
T33 | -2.307573 1.334484 -1.73 0.084 -4.923113 .3079672
T78 | -1.808191 .5122446 -3.53 0.000 -2.812172 -.8042098
T57 | -.9626944 .501139 -1.92 0.055 -1.944909 .01952
T66 | -.9535232 .4006561 -2.38 0.017 -1.738795 -.1682518
T10 | -.8778786 .3904315 -2.25 0.025 -1.64311 -.1126468
T19 | -.8402864 .8243971 -1.02 0.308 -2.456075 .7755021
T14 | -.8294684 .5621342 -1.48 0.140 -1.931231 .2722944
T96 | -.7837216 .2432166 -3.22 0.001 -1.260417 -.3070259
T64 | -.6732646 .4278179 -1.57 0.116 -1.511772 .1652431
T25 | -.4654426 .254216 -1.83 0.067 -.9636968 .0328116
T77 | -.447193 .4250046 -1.05 0.293 -1.280187 .3858007
T28 | -.3489835 .2554385 -1.37 0.172 -.8496337 .1516668
T44 | -.2655118 .456197 -0.58 0.561 -1.159642 .628618
T42 | -.2132319 .3188295 -0.67 0.504 -.8381262 .4116623
T2 | -.0365584 .2478062 -0.15 0.883 -.5222496 .4491328
T83 | .0125502 .3991951 0.03 0.975 -.7698578 .7949582
T49 | .0131452 .3426209 0.04 0.969 -.6583795 .6846698
T9 | .014249 .6332531 0.02 0.982 -1.226904 1.255402
T56 | .0273174 1.254735 0.02 0.983 -2.431919 2.486554
T75 | .0879828 .2395323 0.37 0.713 -.3814918 .5574575
T69 | .2041266 .314785 0.65 0.517 -.4128406 .8210938
T52 | .2238748 .269467 0.83 0.406 -.3042709 .7520205
T34 | .2530688 .2679715 0.94 0.345 -.2721456 .7782832
T45 | .3109775 .2915374 1.07 0.286 -.2604254 .8823804
T81 | .3149754 .7482037 0.42 0.674 -1.151477 1.781428
T38 | .3282871 .2654343 1.24 0.216 -.1919547 .8485288
T94 | .3548599 .22102 1.61 0.108 -.0783313 .788051
T7 | .3615789 .6943212 0.52 0.603 -.9992656 1.722423
T71 | .3851286 .2323409 1.66 0.097 -.0702512 .8405084
T26 | .4822192 .1933201 2.49 0.013 .1033187 .8611197
T23 | .536524 .2210485 2.43 0.015 .1032769 .9697711
T99 | .5623519 .827515 0.68 0.497 -1.059548 2.184251
T92 | .6221036 1.279319 0.49 0.627 -1.885315 3.129522
T35 | .6653059 .3068122 2.17 0.030 .063965 1.266647
T61 | .7494973 .2692306 2.78 0.005 .2218151 1.27718
T27 | .8234011 .7073379 1.16 0.244 -.5629558 2.209758
T17 | .8703184 .6180302 1.41 0.159 -.3409986 2.081635
T11 | .8851088 .3533939 2.50 0.012 .1924694 1.577748
T41 | .9010328 .3894808 2.31 0.021 .1376644 1.664401
T89 | .9056694 1.036667 0.87 0.382 -1.12616 2.937499
T80 | .9247236 .4398248 2.10 0.036 .0626828 1.786764
T47 | .930919 .6799648 1.37 0.171 -.4017875 2.263625
T39 | .9650163 .8174352 1.18 0.238 -.6371273 2.56716
T48 | .9874002 .3377131 2.92 0.003 .3254946 1.649306
T20 | .9921061 .5041594 1.97 0.049 .0039718 1.98024
T74 | 1.016785 1.533814 0.66 0.507 -1.989436 4.023005
T3 | 1.058945 .5086472 2.08 0.037 .0620144 2.055875
T13 | 1.071911 .3359969 3.19 0.001 .4133692 1.730453
T43 | 1.079801 .6918595 1.56 0.119 -.276219 2.43582
T37 | 1.110125 .3277493 3.39 0.001 .4677481 1.752502
T29 | 1.114018 1.008921 1.10 0.270 -.8634306 3.091466
T82 | 1.140793 .4315666 2.64 0.008 .2949378 1.986648
T30 | 1.152463 .3702212 3.11 0.002 .4268427 1.878083
T68 | 1.152708 .3721398 3.10 0.002 .4233279 1.882089
T91 | 1.241849 .4398981 2.82 0.005 .379665 2.104034
T6 | 1.245809 1.19147 1.05 0.296 -1.08943 3.581048
T31 | 1.270233 .26577 4.78 0.000 .7493331 1.791132
T90 | 1.27283 2.778915 0.46 0.647 -4.173744 6.719404
T67 | 1.350552 .4042812 3.34 0.001 .5581757 2.142929
T86 | 1.447235 .3228859 4.48 0.000 .8143898 2.080079
T51 | 1.538022 .868991 1.77 0.077 -.1651693 3.241213
T32 | 1.554699 .6054155 2.57 0.010 .3681062 2.741291
T88 | 1.576012 1.067251 1.48 0.140 -.5157608 3.667785
T54 | 1.656634 .8126371 2.04 0.041 .0638948 3.249374
T16 | 1.661098 .3746466 4.43 0.000 .9268044 2.395392
T8 | 1.668437 1.639835 1.02 0.309 -1.545581 4.882455
T59 | 1.704037 1.073005 1.59 0.112 -.3990134 3.807087
T18 | 1.719228 .6620771 2.60 0.009 .4215811 3.016876
T87 | 1.788737 1.970429 0.91 0.364 -2.073233 5.650707
T100 | 1.849249 .5751404 3.22 0.001 .7219946 2.976503
T97 | 1.943031 .6610472 2.94 0.003 .6474025 3.23866
T21 | 1.972546 .4162127 4.74 0.000 1.156784 2.788308
T73 | 2.03063 .5911849 3.43 0.001 .8719292 3.189331
T70 | 2.219168 .9552153 2.32 0.020 .3469809 4.091356
T4 | 2.339168 1.291493 1.81 0.070 -.1921106 4.870448
T24 | 2.53476 .9788455 2.59 0.010 .616258 4.453262
T12 | 2.788509 2.154397 1.29 0.196 -1.434031 7.011049
T95 | 2.803166 1.853034 1.51 0.130 -.8287135 6.435046
T84 | 2.825709 1.521944 1.86 0.063 -.1572463 5.808664
T50 | 2.852849 3.955959 0.72 0.471 -4.900689 10.60639
T72 | 2.896966 .9309225 3.11 0.002 1.072392 4.721541
T65 | 3.372894 1.591356 2.12 0.034 .253894 6.491895
T60 | 3.443196 5.954062 0.58 0.563 -8.226551 15.11294
T40 | 3.968017 4.476349 0.89 0.375 -4.805467 12.7415
T93 | 4.126156 9.577717 0.43 0.667 -14.64582 22.89814
T76 | 4.189559 2.790911 1.50 0.133 -1.280526 9.659643
T63 | 4.298618 3.24362 1.33 0.185 -2.05876 10.656
T36 | 4.592542 4.108261 1.12 0.264 -3.459501 12.64459
T46 | 6.308374 19.09998 0.33 0.741 -31.12689 43.74364
T22 | 12.06938 27.85142 0.43 0.665 -42.51841 66.65717
T98 | 20.50172 88.2447 0.23 0.816 -152.4547 193.4581
T53 | 35.77715 243.7406 0.15 0.883 -441.9457 513.5
-------------+----------------------------------------------------------------
Guess | .01788 .0670049 0.27 0.790 -.1134471 .1492072
------------------------------------------------------------------------------
I ran 3 PL Model using. estat report, sort(b) byparm. I have 100 items so I want to earn 100 parameter estimates each for a, b, and c.
As you see the output below, I obtained 100 a-parameter coefficients and 100 b-parameter coefficients; however, the output did not generate 100 c-parameter coefficients. Why is it?
-------------------------------------------------------------------------------------------------------------------------
Three-parameter logistic model Number of obs = 200
Log likelihood = -12258.29
------------------------------------------------------------------------------
| Coef. Std. Err. z P>|z| [95% Conf. Interval]
-------------+----------------------------------------------------------------
Discrim |
T15 | .0523926 .1730233 0.30 0.762 -.2867269 .391512
T58 | .0451641 .1661719 0.27 0.786 -.2805268 .370855
T55 | -.2183593 .1935933 -1.13 0.259 -.5977952 .1610765
T62 | -.1647486 .1700435 -0.97 0.333 -.4980277 .1685304
T1 | .197391 .1664477 1.19 0.236 -.1288406 .5236225
T5 | -.0971884 .1588223 -0.61 0.541 -.4084743 .2140976
T85 | -.6609006 .3513625 -1.88 0.060 -1.349558 .0277573
T79 | -.1024164 .1577325 -0.65 0.516 -.4115664 .2067335
T33 | -.3181668 .1783016 -1.78 0.074 -.6676316 .031298
T78 | -.7574176 .2631631 -2.88 0.004 -1.273208 -.2416274
T57 | -.519887 .1841954 -2.82 0.005 -.8809032 -.1588707
T66 | -.6672569 .2040566 -3.27 0.001 -1.0672 -.2673132
T10 | -.6701026 .201546 -3.32 0.001 -1.065125 -.2750797
T19 | -.2924976 .164204 -1.78 0.075 -.6143314 .0293362
T14 | -.4339641 .1758682 -2.47 0.014 -.7786593 -.0892688
T96 | -1.186619 .2892693 -4.10 0.000 -1.753576 -.6196618
T64 | -.5464183 .1897837 -2.88 0.004 -.9183874 -.1744491
T25 | -.9898387 .2597996 -3.81 0.000 -1.499037 -.4806408
T77 | -.5213632 .1823417 -2.86 0.004 -.8787463 -.1639801
T28 | -.9517754 .2621651 -3.63 0.000 -1.465609 -.4379413
T44 | -.4659381 .1796719 -2.59 0.010 -.8180886 -.1137876
T42 | -.7029544 .1947349 -3.61 0.000 -1.084628 -.3212811
T2 | -.9556026 .225051 -4.25 0.000 -1.396694 -.5145109
T83 | -.528497 .1769627 -2.99 0.003 -.8753375 -.1816566
T49 | -.6268247 .1839989 -3.41 0.001 -.9874559 -.2661935
T9 | -.3225843 .1652759 -1.95 0.051 -.6465192 .0013505
T56 | -.1592433 .157961 -1.01 0.313 -.4688412 .1503546
T75 | -1.005759 .2271754 -4.43 0.000 -1.451014 -.5605032
T69 | -.7095499 .1948822 -3.64 0.000 -1.091512 -.3275879
T52 | -.9022717 .224288 -4.02 0.000 -1.341868 -.4626754
T34 | -.8942544 .2187932 -4.09 0.000 -1.323081 -.4654277
T45 | -.7780688 .1990496 -3.91 0.000 -1.168199 -.3879388
T81 | -.2785539 .1621542 -1.72 0.086 -.5963704 .0392625
T38 | -.9172671 .2219814 -4.13 0.000 -1.352343 -.4821916
T94 | -1.14856 .247269 -4.64 0.000 -1.633198 -.6639217
T7 | -.3012459 .1626356 -1.85 0.064 -.6200057 .017514
T71 | -1.212601 .2940319 -4.12 0.000 -1.788893 -.6363087
T26 | -1.527783 .3199615 -4.77 0.000 -2.154896 -.9006703
T23 | -1.164008 .245662 -4.74 0.000 -1.645497 -.682519
T99 | -.2664029 .1622392 -1.64 0.101 -.5843859 .0515801
T92 | -.1721813 .1575464 -1.09 0.274 -.4809665 .136604
T35 | -.7944193 .2023155 -3.93 0.000 -1.190951 -.3978882
T61 | -.9949855 .2317241 -4.29 0.000 -1.449156 -.5408145
T27 | -.338543 .1655689 -2.04 0.041 -.6630521 -.0140339
T17 | -.398253 .1698263 -2.35 0.019 -.7311065 -.0653996
T11 | -.7549207 .2044941 -3.69 0.000 -1.155722 -.3541196
T41 | -.6710437 .1939508 -3.46 0.001 -1.05118 -.2909072
T89 | -.2336826 .1601037 -1.46 0.144 -.5474801 .0801149
T80 | -.5900074 .1866615 -3.16 0.002 -.9558572 -.2241576
T47 | -.3705575 .1684208 -2.20 0.028 -.7006562 -.0404588
T39 | -.3093048 .1647567 -1.88 0.060 -.632222 .0136124
T48 | -.8192961 .2115798 -3.87 0.000 -1.233985 -.4046072
T20 | -.5170716 .179404 -2.88 0.004 -.8686969 -.1654463
T74 | -.1660597 .1577312 -1.05 0.292 -.4752072 .1430878
T3 | -.5293344 .1814117 -2.92 0.004 -.8848948 -.1737739
T13 | -.8647516 .2201505 -3.93 0.000 -1.296239 -.4332646
T43 | -.380489 .1690183 -2.25 0.024 -.7117588 -.0492192
T37 | -.8916874 .2223443 -4.01 0.000 -1.327474 -.4559006
T29 | -.2662271 .1630726 -1.63 0.103 -.5858435 .0533892
T82 | -.6565216 .1948082 -3.37 0.001 -1.038339 -.2747046
T30 | -.8158428 .2170987 -3.76 0.000 -1.241348 -.3903372
T68 | -.7862351 .2105041 -3.74 0.000 -1.198816 -.3736546
T91 | -.6650372 .1968244 -3.38 0.001 -1.050806 -.2792685
T6 | -.2372172 .1618963 -1.47 0.143 -.5545282 .0800938
T31 | -1.272167 .285587 -4.45 0.000 -1.831908 -.712427
T90 | -.0997593 .156486 -0.64 0.524 -.4064662 .2069476
T67 | -.7682389 .2099613 -3.66 0.000 -1.179756 -.3567224
T86 | -1.110332 .2692229 -4.12 0.000 -1.637999 -.5826649
T51 | -.3674287 .1709569 -2.15 0.032 -.7024979 -.0323594
T32 | -.5481266 .1889975 -2.90 0.004 -.9185549 -.1776983
T88 | -.2985854 .1656752 -1.80 0.072 -.6233028 .026132
T54 | -.4137504 .1760052 -2.35 0.019 -.7587143 -.0687865
T16 | -1.033798 .2622771 -3.94 0.000 -1.547851 -.519744
T8 | -.2017651 .1605435 -1.26 0.209 -.5164246 .1128944
T59 | -.3157642 .1681297 -1.88 0.060 -.6452923 .0137639
T18 | -.5392961 .1909712 -2.82 0.005 -.9135927 -.1649994
T87 | -.1759741 .159917 -1.10 0.271 -.4894058 .1374575
T100 | -.6878821 .2146139 -3.21 0.001 -1.108518 -.2672466
T97 | -.6127756 .2054961 -2.98 0.003 -1.015541 -.2100106
T21 | -1.216171 .3273373 -3.72 0.000 -1.85774 -.5746018
T73 | -.7471587 .23002 -3.25 0.001 -1.19799 -.2963278
T70 | -.457758 .1896007 -2.41 0.016 -.8293685 -.0861474
T4 | -.3398261 .1755878 -1.94 0.053 -.6839719 .0043196
T24 | -.5184207 .2048376 -2.53 0.011 -.919895 -.1169464
T12 | -.2309922 .1669866 -1.38 0.167 -.55828 .0962956
T95 | -.2724472 .1715667 -1.59 0.112 -.6087117 .0638173
T84 | -.3433131 .180909 -1.90 0.058 -.6978883 .0112621
T50 | -.1246283 .1587749 -0.78 0.432 -.4358213 .1865648
T72 | -.7703429 .2812504 -2.74 0.006 -1.321583 -.2191023
T65 | -.4297806 .2080739 -2.07 0.039 -.8375981 -.0219632
T60 | -.0969975 .1581413 -0.61 0.540 -.4069488 .2129538
T40 | -.1497979 .1635544 -0.92 0.360 -.4703585 .1707628
T93 | -.0707257 .1568526 -0.45 0.652 -.3781512 .2366997
T76 | -.2809345 .1877711 -1.50 0.135 -.6489591 .0870901
T63 | -.240785 .1804464 -1.33 0.182 -.5944534 .1128834
T36 | -.1965279 .1738785 -1.13 0.258 -.5373234 .1442676
T46 | -.052854 .1571251 -0.34 0.737 -.3608134 .2551054
T22 | -.074206 .1709494 -0.43 0.664 -.4092606 .2608486
T98 | -.038915 .1672542 -0.23 0.816 -.3667272 .2888972
T53 | -.0250048 .1702716 -0.15 0.883 -.358731 .3087214
-------------+----------------------------------------------------------------
Diff |
T15 | -18.52241 61.27814 -0.30 0.762 -138.6254 101.5805
T58 | -17.14282 63.13231 -0.27 0.786 -140.8799 106.5942
T55 | -5.558141 4.755812 -1.17 0.243 -14.87936 3.76308
T62 | -4.52322 4.69827 -0.96 0.336 -13.73166 4.685221
T1 | -3.717581 3.235227 -1.15 0.251 -10.05851 2.623348
T5 | -2.915259 5.154975 -0.57 0.572 -13.01883 7.188307
T85 | -2.784913 .9472773 -2.94 0.003 -4.641542 -.9282834
T79 | -2.361347 4.081378 -0.58 0.563 -10.3607 5.638006
T33 | -2.307573 1.334484 -1.73 0.084 -4.923113 .3079672
T78 | -1.808191 .5122446 -3.53 0.000 -2.812172 -.8042098
T57 | -.9626944 .501139 -1.92 0.055 -1.944909 .01952
T66 | -.9535232 .4006561 -2.38 0.017 -1.738795 -.1682518
T10 | -.8778786 .3904315 -2.25 0.025 -1.64311 -.1126468
T19 | -.8402864 .8243971 -1.02 0.308 -2.456075 .7755021
T14 | -.8294684 .5621342 -1.48 0.140 -1.931231 .2722944
T96 | -.7837216 .2432166 -3.22 0.001 -1.260417 -.3070259
T64 | -.6732646 .4278179 -1.57 0.116 -1.511772 .1652431
T25 | -.4654426 .254216 -1.83 0.067 -.9636968 .0328116
T77 | -.447193 .4250046 -1.05 0.293 -1.280187 .3858007
T28 | -.3489835 .2554385 -1.37 0.172 -.8496337 .1516668
T44 | -.2655118 .456197 -0.58 0.561 -1.159642 .628618
T42 | -.2132319 .3188295 -0.67 0.504 -.8381262 .4116623
T2 | -.0365584 .2478062 -0.15 0.883 -.5222496 .4491328
T83 | .0125502 .3991951 0.03 0.975 -.7698578 .7949582
T49 | .0131452 .3426209 0.04 0.969 -.6583795 .6846698
T9 | .014249 .6332531 0.02 0.982 -1.226904 1.255402
T56 | .0273174 1.254735 0.02 0.983 -2.431919 2.486554
T75 | .0879828 .2395323 0.37 0.713 -.3814918 .5574575
T69 | .2041266 .314785 0.65 0.517 -.4128406 .8210938
T52 | .2238748 .269467 0.83 0.406 -.3042709 .7520205
T34 | .2530688 .2679715 0.94 0.345 -.2721456 .7782832
T45 | .3109775 .2915374 1.07 0.286 -.2604254 .8823804
T81 | .3149754 .7482037 0.42 0.674 -1.151477 1.781428
T38 | .3282871 .2654343 1.24 0.216 -.1919547 .8485288
T94 | .3548599 .22102 1.61 0.108 -.0783313 .788051
T7 | .3615789 .6943212 0.52 0.603 -.9992656 1.722423
T71 | .3851286 .2323409 1.66 0.097 -.0702512 .8405084
T26 | .4822192 .1933201 2.49 0.013 .1033187 .8611197
T23 | .536524 .2210485 2.43 0.015 .1032769 .9697711
T99 | .5623519 .827515 0.68 0.497 -1.059548 2.184251
T92 | .6221036 1.279319 0.49 0.627 -1.885315 3.129522
T35 | .6653059 .3068122 2.17 0.030 .063965 1.266647
T61 | .7494973 .2692306 2.78 0.005 .2218151 1.27718
T27 | .8234011 .7073379 1.16 0.244 -.5629558 2.209758
T17 | .8703184 .6180302 1.41 0.159 -.3409986 2.081635
T11 | .8851088 .3533939 2.50 0.012 .1924694 1.577748
T41 | .9010328 .3894808 2.31 0.021 .1376644 1.664401
T89 | .9056694 1.036667 0.87 0.382 -1.12616 2.937499
T80 | .9247236 .4398248 2.10 0.036 .0626828 1.786764
T47 | .930919 .6799648 1.37 0.171 -.4017875 2.263625
T39 | .9650163 .8174352 1.18 0.238 -.6371273 2.56716
T48 | .9874002 .3377131 2.92 0.003 .3254946 1.649306
T20 | .9921061 .5041594 1.97 0.049 .0039718 1.98024
T74 | 1.016785 1.533814 0.66 0.507 -1.989436 4.023005
T3 | 1.058945 .5086472 2.08 0.037 .0620144 2.055875
T13 | 1.071911 .3359969 3.19 0.001 .4133692 1.730453
T43 | 1.079801 .6918595 1.56 0.119 -.276219 2.43582
T37 | 1.110125 .3277493 3.39 0.001 .4677481 1.752502
T29 | 1.114018 1.008921 1.10 0.270 -.8634306 3.091466
T82 | 1.140793 .4315666 2.64 0.008 .2949378 1.986648
T30 | 1.152463 .3702212 3.11 0.002 .4268427 1.878083
T68 | 1.152708 .3721398 3.10 0.002 .4233279 1.882089
T91 | 1.241849 .4398981 2.82 0.005 .379665 2.104034
T6 | 1.245809 1.19147 1.05 0.296 -1.08943 3.581048
T31 | 1.270233 .26577 4.78 0.000 .7493331 1.791132
T90 | 1.27283 2.778915 0.46 0.647 -4.173744 6.719404
T67 | 1.350552 .4042812 3.34 0.001 .5581757 2.142929
T86 | 1.447235 .3228859 4.48 0.000 .8143898 2.080079
T51 | 1.538022 .868991 1.77 0.077 -.1651693 3.241213
T32 | 1.554699 .6054155 2.57 0.010 .3681062 2.741291
T88 | 1.576012 1.067251 1.48 0.140 -.5157608 3.667785
T54 | 1.656634 .8126371 2.04 0.041 .0638948 3.249374
T16 | 1.661098 .3746466 4.43 0.000 .9268044 2.395392
T8 | 1.668437 1.639835 1.02 0.309 -1.545581 4.882455
T59 | 1.704037 1.073005 1.59 0.112 -.3990134 3.807087
T18 | 1.719228 .6620771 2.60 0.009 .4215811 3.016876
T87 | 1.788737 1.970429 0.91 0.364 -2.073233 5.650707
T100 | 1.849249 .5751404 3.22 0.001 .7219946 2.976503
T97 | 1.943031 .6610472 2.94 0.003 .6474025 3.23866
T21 | 1.972546 .4162127 4.74 0.000 1.156784 2.788308
T73 | 2.03063 .5911849 3.43 0.001 .8719292 3.189331
T70 | 2.219168 .9552153 2.32 0.020 .3469809 4.091356
T4 | 2.339168 1.291493 1.81 0.070 -.1921106 4.870448
T24 | 2.53476 .9788455 2.59 0.010 .616258 4.453262
T12 | 2.788509 2.154397 1.29 0.196 -1.434031 7.011049
T95 | 2.803166 1.853034 1.51 0.130 -.8287135 6.435046
T84 | 2.825709 1.521944 1.86 0.063 -.1572463 5.808664
T50 | 2.852849 3.955959 0.72 0.471 -4.900689 10.60639
T72 | 2.896966 .9309225 3.11 0.002 1.072392 4.721541
T65 | 3.372894 1.591356 2.12 0.034 .253894 6.491895
T60 | 3.443196 5.954062 0.58 0.563 -8.226551 15.11294
T40 | 3.968017 4.476349 0.89 0.375 -4.805467 12.7415
T93 | 4.126156 9.577717 0.43 0.667 -14.64582 22.89814
T76 | 4.189559 2.790911 1.50 0.133 -1.280526 9.659643
T63 | 4.298618 3.24362 1.33 0.185 -2.05876 10.656
T36 | 4.592542 4.108261 1.12 0.264 -3.459501 12.64459
T46 | 6.308374 19.09998 0.33 0.741 -31.12689 43.74364
T22 | 12.06938 27.85142 0.43 0.665 -42.51841 66.65717
T98 | 20.50172 88.2447 0.23 0.816 -152.4547 193.4581
T53 | 35.77715 243.7406 0.15 0.883 -441.9457 513.5
-------------+----------------------------------------------------------------
Guess | .01788 .0670049 0.27 0.790 -.1134471 .1492072
------------------------------------------------------------------------------
Comment