linear specification 1 14:56 Sunday, May 1, 2005 The REG Procedure Model: MODEL1 Dependent Variable: costs Number of Observations Read 7535 Number of Observations Used 7535 Analysis of Variance Sum of Mean Source DF Squares Square F Value Pr > F Model 3 2447774 815925 16212.9 <.0001 Error 7531 379003 50.32572 Corrected Total 7534 2826777 Root MSE 7.09406 R-Square 0.8659 Dependent Mean 16.26741 Adj R-Sq 0.8659 Coeff Var 43.60905 Parameter Estimates Parameter Standard Variable DF Estimate Error t Value Pr > |t| Intercept 1 -4.21073 0.18157 -23.19 <.0001 days 1 0.00020169 0.00000490 41.18 <.0001 visits 1 0.00149 0.00001244 119.92 <.0001 time 1 0.16675 0.01429 11.67 <.0001 log specification 2 14:56 Sunday, May 1, 2005 The REG Procedure Model: MODEL1 Dependent Variable: lnC Number of Observations Read 7535 Number of Observations Used 7535 Analysis of Variance Sum of Mean Source DF Squares Square F Value Pr > F Model 3 7414.73628 2471.57876 16134.9 <.0001 Error 7531 1153.61608 0.15318 Corrected Total 7534 8568.35236 Root MSE 0.39139 R-Square 0.8654 Dependent Mean 2.26799 Adj R-Sq 0.8653 Coeff Var 17.25692 Parameter Estimates Parameter Standard Variable DF Estimate Error t Value Pr > |t| Intercept 1 -6.60337 0.04125 -160.09 <.0001 lnD 1 0.31359 0.00571 54.89 <.0001 lnV 1 0.66939 0.00614 109.09 <.0001 time 1 0.00721 0.00078682 9.16 <.0001 coefficients from log specification 3 14:56 Sunday, May 1, 2005 Obs _MODEL_ _TYPE_ _DEPVAR_ _RMSE_ Intercept lnD lnV time lnC 1 MODEL1 PARMS lnC 0.39139 -6.60337 0.31359 0.66939 .007208809 -1 smearing factor from log specification 4 14:56 Sunday, May 1, 2005 The MEANS Procedure Analysis Variable : smear Mean ------------ 1.0818334 ------------ marginal costs from log specification 5 14:56 Sunday, May 1, 2005 The MEANS Procedure Variable Label N Mean Std Dev Minimum Maximum -------------------------------------------------------------------------------- smearing 7535 1.0818334 0 1.0818334 1.0818334 b_lnD 7535 0.3135853 0 0.3135853 0.3135853 b_lnV 7535 0.6693855 0 0.6693855 0.6693855 b_t 7535 0.0072088 1.057969E-15 0.0072088 0.0072088 b_1 7535 -6.6033652 7.827405E-13 -6.6033652 -6.6033652 id 7535 278823.64 136266.42 10735.00 580996.00 costs 7535 16.2674079 19.3701502 0.1275620 224.7070820 days 7535 20785.42 24166.55 1.0000000 236434.00 visits 7535 9853.14 9509.26 19.0000000 105095.00 year 7535 1993.00 1.4118596 1991.00 1995.00 quarter 7535 2.5003318 1.1178113 1.0000000 4.0000000 lnC 7535 2.2679891 1.0664386 -2.0591528 5.4147977 lnD 7535 9.4017244 1.1329640 0 12.3734244 lnV 7535 8.7460977 1.0540256 2.9444390 11.5626200 time 7535 9.5162575 5.7555246 0 19.0000000 lnC_hat 7535 2.2679891 0.9920534 -4.6035652 4.9860227 e Residual 7535 4.181257E-14 0.3913072 -1.4897923 2.5444124 smear 7535 1.0818334 0.5157909 0.2254195 12.7357428 dCdD 7535 0.000359724 0.0016629 0.000024643 0.0872126 dCdV 7535 0.000767873 0.0035496 0.000052603 0.1861657 -------------------------------------------------------------------------------- The Ramsey RESET test regression 6 14:56 Sunday, May 1, 2005 The REG Procedure Model: MODEL1 Dependent Variable: costs Number of Observations Read 7535 Number of Observations Used 7535 Analysis of Variance Sum of Mean Source DF Squares Square F Value Pr > F Model 5 2509361 501872 11904.2 <.0001 Error 7529 317416 42.15911 Corrected Total 7534 2826777 Root MSE 6.49300 R-Square 0.8877 Dependent Mean 16.26741 Adj R-Sq 0.8876 Coeff Var 39.91419 Parameter Estimates Parameter Standard Variable DF Estimate Error t Value Pr > |t| Intercept 1 0.83649 0.21259 3.93 <.0001 days 1 0.00006883 0.00000572 12.02 <.0001 visits 1 0.00074108 0.00002270 32.64 <.0001 time 1 0.12933 0.01312 9.86 <.0001 Ramsey2 1 0.01266 0.00034655 36.53 <.0001 Ramsey3 1 -0.00005427 0.00000162 -33.42 <.0001 The Ramsey RESET test regression 7 14:56 Sunday, May 1, 2005 costs Chat lnC_hat smearing error 8.89626 12.2860 2.42980 1.08183 -3.38973 8.59274 11.1241 2.33046 1.08183 -2.53140 8.55700 11.0744 2.32597 1.08183 -2.51736 9.06241 11.6367 2.37551 1.08183 -2.57429 8.36716 11.8041 2.38979 1.08183 -3.43695 8.02778 11.3097 2.34701 1.08183 -3.28196 8.00975 10.1436 2.23818 1.08183 -2.13381 8.33620 11.4349 2.35801 1.08183 -3.09868 8.62943 11.5547 2.36844 1.08183 -2.92529 8.37985 11.1684 2.33443 1.08183 -2.78852 SSE for costs in log model 8 14:56 Sunday, May 1, 2005 The MEANS Procedure Analysis Variable : error2 N Mean Sum ------------------------------------ 7535 59.4835203 448208.33 ------------------------------------ SSE for costs in log model 9 14:56 Sunday, May 1, 2005 The MEANS Procedure Analysis Variable : C_hat Predicted Value of costs N Mean Std Dev Minimum Maximum -------------------------------------------------------------------- 7535 16.2674079 18.0249004 -3.5151685 189.9738040 -------------------------------------------------------------------- MEPS spending regression 10 14:56 Sunday, May 1, 2005 The REG Procedure Model: MODEL1 Dependent Variable: spending Number of Observations Read 9507 Number of Observations Used 9507 Analysis of Variance Sum of Mean Source DF Squares Square F Value Pr > F Model 9 18564495302 2062721700 34.53 <.0001 Error 9497 5.672428E11 59728635 Corrected Total 9506 5.858073E11 Root MSE 7728.43028 R-Square 0.0317 Dependent Mean 1852.18344 Adj R-Sq 0.0308 Coeff Var 417.26052 Parameter Estimates Parameter Standard Variable DF Estimate Error t Value Pr > |t| Intercept 1 -76.44313 398.94988 -0.19 0.8481 income 1 0.00541 0.00393 1.38 0.1683 age 1 21.25996 7.27991 2.92 0.0035 sex 1 -88.69986 164.01039 -0.54 0.5886 employed 1 -1349.92945 214.11979 -6.30 <.0001 insured 1 1551.03936 220.83128 7.02 <.0001 hspoor 1 4939.60198 467.77060 10.56 <.0001 hsfair 1 1601.33280 299.69293 5.34 <.0001 hsgood 1 1076.04992 216.95736 4.96 <.0001 hsvryg 1 286.45072 202.19441 1.42 0.1566 MEPS spending regression 11 14:56 Sunday, May 1, 2005 The REG Procedure Model: MODEL1 Dependent Variable: spending Consistent Covariance of Estimates Variable Intercept income age sex employed Intercept 406473.73223 0.0164400053 -8201.835331 30948.183559 -199948.1044 income 0.0164400053 5.2410918E-6 -0.001812294 -0.072589073 -0.008282524 age -8201.835331 -0.001812294 174.23761798 -802.5977019 3976.4014149 sex 30948.183559 -0.072589073 -802.5977019 36007.338066 -35853.28339 employed -199948.1044 -0.008282524 3976.4014149 -35853.28339 128874.70195 insured 92949.744134 -0.082214876 -1997.626651 18552.469607 -59413.32464 hspoor -41998.5221 -0.009336506 586.33783406 -4637.672794 17095.883902 hsfair -35985.14175 0.0456977881 575.84568461 3185.5629482 7869.7532165 hsgood 140039.44943 0.0550178337 -2999.360946 21734.018977 -83630.40473 hsvryg -6950.71504 0.0065606263 77.105941743 1788.8475254 -990.5712627 Consistent Covariance of Estimates Variable insured hspoor hsfair hsgood hsvryg Intercept 92949.744134 -41998.5221 -35985.14175 140039.44943 -6950.71504 income -0.082214876 -0.009336506 0.0456977881 0.0550178337 0.0065606263 age -1997.626651 586.33783406 575.84568461 -2999.360946 77.105941743 sex 18552.469607 -4637.672794 3185.5629482 21734.018977 1788.8475254 employed -59413.32464 17095.883902 7869.7532165 -83630.40473 -990.5712627 insured 37174.938516 3047.9984948 -727.3164428 41340.341226 -81.60286513 hspoor 3047.9984948 545637.77649 -219.6258595 -21360.93519 2226.9596203 hsfair -727.3164428 -219.6258595 47129.865454 -5242.506087 3161.1565098 hsgood 41340.341226 -21360.93519 -5242.506087 74184.737878 3389.4400223 hsvryg -81.60286513 2226.9596203 3161.1565098 3389.4400223 8678.5048529 Test of First and Second Moment Specification DF Chi-Square Pr > ChiSq 41 87.80 <.0001 MEPS spending regression 12 14:56 Sunday, May 1, 2005 The REG Procedure Model: MODEL1 Test 1 Results for Dependent Variable spending Mean Source DF Square F Value Pr > F Numerator 1 119879279 2.01 0.1566 Denominator 9497 59728635 MEPS spending regression 13 14:56 Sunday, May 1, 2005 The REG Procedure Model: MODEL1 Dependent Variable: spending Test 1 Results using ACOV estimates DF Chi-Square Pr > ChiSq 1 9.45 0.0021 MEPS spending regression 14 14:56 Sunday, May 1, 2005 The REG Procedure Model: MODEL1 Dependent Variable: spending Number of Observations Read 9507 Number of Observations Used 9507 Analysis of Variance Sum of Mean Source DF Squares Square F Value Pr > F Model 13 19571178041 1505475234 25.24 <.0001 Error 9493 5.662362E11 59647757 Corrected Total 9506 5.858073E11 Root MSE 7723.19605 R-Square 0.0334 Dependent Mean 1852.18344 Adj R-Sq 0.0321 Coeff Var 416.97792 Parameter Estimates Parameter Standard Variable DF Estimate Error t Value Pr > |t| Intercept 1 533.86737 498.78109 1.07 0.2845 income 1 0.00611 0.00393 1.55 0.1200 age 1 21.73558 7.27792 2.99 0.0028 sex 1 -123.19099 164.15046 -0.75 0.4530 employed 1 -1319.40925 214.20186 -6.16 <.0001 insured 1 785.41399 419.58736 1.87 0.0613 hspoor 1 1879.86853 1097.72901 1.71 0.0868 hsfair 1 -20.81546 652.04133 -0.03 0.9745 hsgood 1 234.11480 523.21566 0.45 0.6546 hsvryg 1 117.58837 545.57033 0.22 0.8294 i_poor 1 3698.95763 1200.72194 3.08 0.0021 i_fair 1 2037.77030 727.26538 2.80 0.0051 i_good 1 1002.06043 573.28932 1.75 0.0805 i_vryg 1 200.59232 587.10335 0.34 0.7326 MEPS spending regression 15 14:56 Sunday, May 1, 2005 The REG Procedure Model: MODEL1 Dependent Variable: spending Consistent Covariance of Estimates Variable Intercept income age sex employed Intercept 472975.23123 0.0251808433 -8878.15524 34270.482587 -220304.1138 income 0.0251808433 5.1789725E-6 -0.001650415 -0.07251548 -0.005345367 age -8878.15524 -0.001650415 175.97908131 -803.3217698 4008.6463047 sex 34270.482587 -0.07251548 -803.3217698 35851.268974 -35619.97303 employed -220304.1138 -0.005345367 4008.6463047 -35619.97303 129069.28574 insured 62867.970351 -0.100935865 -1331.153686 14635.735639 -37779.5337 hspoor -25894.0268 0.0268268618 353.13331271 -5038.432344 12107.183666 hsfair 16301.152691 0.0249067104 -551.9529877 7125.630745 -10102.27643 hsgood 2911.8850557 0.0050180248 -228.0479433 7007.2622798 -7367.075813 hsvryg 8323.4885529 -0.00315195 -300.017688 4532.3397917 -8771.608741 i_poor -11582.51905 0.0368337302 336.20766587 -1696.899341 8389.7584111 i_fair -67879.16398 0.0302925664 1571.886813 -6135.802874 26889.563492 i_good 189871.87064 0.0549337286 -3440.639304 17981.998454 -93974.20693 i_vryg -14364.88797 0.0103315841 433.85251484 -3176.759788 8951.1976413 Consistent Covariance of Estimates Variable insured hspoor hsfair hsgood hsvryg Intercept 62867.970351 -25894.0268 16301.152691 2911.8850557 8323.4885529 income -0.100935865 0.0268268618 0.0249067104 0.0050180248 -0.00315195 age -1331.153686 353.13331271 -551.9529877 -228.0479433 -300.017688 sex 14635.735639 -5038.432344 7125.630745 7007.2622798 4532.3397917 employed -37779.5337 12107.183666 -10102.27643 -7367.075813 -8771.608741 insured 25265.453612 2411.9403858 10608.147598 9149.2703595 9399.3756387 hspoor 2411.9403858 615164.86058 5292.4904447 5576.5057661 5683.8513782 hsfair 10608.147598 5292.4904447 23093.47086 8188.2522871 7739.4018664 hsgood 9149.2703595 5576.5057661 8188.2522871 23766.080463 7332.2999284 hsvryg 9399.3756387 5683.8513782 7739.4018664 7332.2999284 18279.552537 i_poor -14695.26676 -616926.251 -7415.377538 -7042.962871 -6901.802466 i_fair -22453.57911 -8012.533459 -25939.67041 -8909.9192 -8464.860547 i_good 17104.171763 -14872.81457 2343.5616944 -16816.60834 418.50590709 i_vryg -14587.58186 -6593.881541 -8185.368188 -7285.63728 -18216.98483 Consistent Covariance of Estimates Variable i_poor i_fair i_good i_vryg Intercept -11582.51905 -67879.16398 189871.87064 -14364.88797 income 0.0368337302 0.0302925664 0.0549337286 0.0103315841 age 336.20766587 1571.886813 -3440.639304 433.85251484 sex -1696.899341 -6135.802874 17981.998454 -3176.759788 employed 8389.7584111 26889.563492 -93974.20693 8951.1976413 insured -14695.26676 -22453.57911 17104.171763 -14587.58186 hspoor -616926.251 -8012.533459 -14872.81457 -6593.881541 hsfair -7415.377538 -25939.67041 2343.5616944 -8185.368188 hsgood -7042.962871 -8909.9192 -16816.60834 -7285.63728 hsvryg -6901.802466 -8464.860547 418.50590709 -18216.98483 i_poor 1388584.6931 10903.396469 -15421.66735 11226.606536 MEPS spending regression 16 14:56 Sunday, May 1, 2005 The REG Procedure Model: MODEL1 Dependent Variable: spending Consistent Covariance of Estimates Variable i_poor i_fair i_good i_vryg i_fair 10903.396469 106540.68862 -17091.85845 13118.015482 i_good -15421.66735 -17091.85845 117654.06212 2705.7452524 i_vryg 11226.606536 13118.015482 2705.7452524 29261.459928 Test of First and Second Moment Specification DF Chi-Square Pr > ChiSq 57 93.96 0.0015 MEPS spending regression 17 14:56 Sunday, May 1, 2005 The REG Procedure Model: MODEL1 Test 1 Results for Dependent Variable spending Mean Source DF Square F Value Pr > F Numerator 4 251670685 4.22 0.0021 Denominator 9493 59647757 MEPS spending regression 18 14:56 Sunday, May 1, 2005 The REG Procedure Model: MODEL1 Dependent Variable: spending Test 1 Results using ACOV estimates DF Chi-Square Pr > ChiSq 4 64.60 <.0001 MEPS spending regression 19 14:56 Sunday, May 1, 2005 The MEANS Procedure Variable N Mean Std Dev Minimum Maximum ------------------------------------------------------------------------------ Y 50 0.3938000 6.3683743 -23.1700000 26.1400000 X1 50 0.1082000 0.9338218 -1.9900000 2.0400000 X2 50 0.2150000 2.0857703 -3.4500000 7.8200000 ------------------------------------------------------------------------------ Greene 248, problem 5a 20 14:56 Sunday, May 1, 2005 The REG Procedure Model: MODEL1 Dependent Variable: Y Number of Observations Read 50 Number of Observations Used 50 Analysis of Variance Sum of Mean Source DF Squares Square F Value Pr > F Model 2 75.32584 37.66292 0.93 0.4033 Error 47 1911.92754 40.67931 Corrected Total 49 1987.25338 Root MSE 6.37803 R-Square 0.0379 Dependent Mean 0.39380 Adj R-Sq -0.0030 Coeff Var 1619.61233 Parameter Estimates Parameter Standard Variable DF Estimate Error t Value Pr > |t| Intercept 1 0.19039 0.91445 0.21 0.8360 X1 1 1.13113 0.98260 1.15 0.2555 X2 1 0.37682 0.43992 0.86 0.3960 Covariance of Estimates Variable Intercept X1 X2 Intercept 0.8362122196 -0.11545052 -0.047136222 X1 -0.11545052 0.9655096734 0.0510808076 X2 -0.047136222 0.0510808076 0.1935315263 Greene 248, problem 5b 21 14:56 Sunday, May 1, 2005 The REG Procedure Model: MODEL1 Dependent Variable: Y Number of Observations Read 50 Number of Observations Used 50 Analysis of Variance Sum of Mean Source DF Squares Square F Value Pr > F Model 2 75.32584 37.66292 0.93 0.4033 Error 47 1911.92754 40.67931 Corrected Total 49 1987.25338 Root MSE 6.37803 R-Square 0.0379 Dependent Mean 0.39380 Adj R-Sq -0.0030 Coeff Var 1619.61233 Parameter Estimates Parameter Standard Variable DF Estimate Error t Value Pr > |t| Intercept 1 0.19039 0.91445 0.21 0.8360 X1 1 1.13113 0.98260 1.15 0.2555 X2 1 0.37682 0.43992 0.86 0.3960 Greene 248, problem 5b 22 14:56 Sunday, May 1, 2005 The REG Procedure Model: MODEL1 Dependent Variable: Y Consistent Covariance of Estimates Variable Intercept X1 X2 Intercept 0.524588996 0.0765775559 0.3992181157 X1 0.0765775559 0.2823656689 -0.091608374 X2 0.3992181157 -0.091608374 1.1444736454 Greene 248, problem 5c 23 14:56 Sunday, May 1, 2005 The REG Procedure Model: MODEL1 Dependent Variable: Y Number of Observations Read 50 Number of Observations Used 50 Analysis of Variance Sum of Mean Source DF Squares Square F Value Pr > F Model 2 75.32584 37.66292 0.93 0.4033 Error 47 1911.92754 40.67931 Corrected Total 49 1987.25338 Root MSE 6.37803 R-Square 0.0379 Dependent Mean 0.39380 Adj R-Sq -0.0030 Coeff Var 1619.61233 Parameter Estimates Parameter Standard Variable DF Estimate Error t Value Pr > |t| Intercept 1 0.19039 0.91445 0.21 0.8360 X1 1 1.13113 0.98260 1.15 0.2555 X2 1 0.37682 0.43992 0.86 0.3960 Greene 248, problem 5c 24 14:56 Sunday, May 1, 2005 The REG Procedure Model: MODEL1 Dependent Variable: Y Test of First and Second Moment Specification DF Chi-Square Pr > ChiSq 5 4.47 0.4839 Greene 248, problem 5d 25 14:56 Sunday, May 1, 2005 The REG Procedure Model: MODEL1 Dependent Variable: BPaganLHS Number of Observations Read 50 Number of Observations Used 50 Analysis of Variance Sum of Mean Source DF Squares Square F Value Pr > F Model 2 128.60918 64.30459 9.33 0.0004 Error 47 323.96168 6.89280 Corrected Total 49 452.57085 Root MSE 2.62541 R-Square 0.2842 Dependent Mean 0.94000 Adj R-Sq 0.2537 Coeff Var 279.29942 Parameter Estimates Parameter Standard Variable DF Estimate Error t Value Pr > |t| Intercept 1 0.76047 0.37642 2.02 0.0491 X1 1 0.10747 0.40447 0.27 0.7916 X2 1 0.78095 0.18109 4.31 <.0001 Greene 248, problem 5e - X1 G-Q test 26 14:56 Sunday, May 1, 2005 The REG Procedure Model: MODEL1 Dependent Variable: Y Number of Observations Read 20 Number of Observations Used 20 Analysis of Variance Sum of Mean Source DF Squares Square F Value Pr > F Model 2 148.67921 74.33960 2.35 0.1254 Error 17 537.42409 31.61318 Corrected Total 19 686.10330 Root MSE 5.62256 R-Square 0.2167 Dependent Mean -0.98500 Adj R-Sq 0.1245 Coeff Var -570.81828 Parameter Estimates Parameter Standard Variable DF Estimate Error t Value Pr > |t| Intercept 1 1.16095 2.20637 0.53 0.6056 X1 1 1.57031 2.11436 0.74 0.4678 X2 1 -1.17950 0.56242 -2.10 0.0512 Greene 248, problem 5e - X1 G-Q test 27 14:56 Sunday, May 1, 2005 The REG Procedure Model: MODEL1 Dependent Variable: Y Number of Observations Read 20 Number of Observations Used 20 Analysis of Variance Sum of Mean Source DF Squares Square F Value Pr > F Model 2 17.98602 8.99301 0.59 0.5676 Error 17 261.06655 15.35686 Corrected Total 19 279.05258 Root MSE 3.91878 R-Square 0.0645 Dependent Mean 0.86250 Adj R-Sq -0.0456 Coeff Var 454.35159 Parameter Estimates Parameter Standard Variable DF Estimate Error t Value Pr > |t| Intercept 1 0.36429 2.14992 0.17 0.8674 X1 1 0.49391 2.04524 0.24 0.8121 X2 1 0.59388 0.56485 1.05 0.3078 Greene 248, problem 5e - X2 G-Q test 28 14:56 Sunday, May 1, 2005 The REG Procedure Model: MODEL1 Dependent Variable: Y Number of Observations Read 20 Number of Observations Used 20 Analysis of Variance Sum of Mean Source DF Squares Square F Value Pr > F Model 2 61.99089 30.99545 1.86 0.1854 Error 17 282.69623 16.62919 Corrected Total 19 344.68712 Root MSE 4.07789 R-Square 0.1798 Dependent Mean -1.78200 Adj R-Sq 0.0834 Coeff Var -228.83784 Parameter Estimates Parameter Standard Variable DF Estimate Error t Value Pr > |t| Intercept 1 3.19051 2.79375 1.14 0.2693 X1 1 0.79207 1.18019 0.67 0.5111 X2 1 2.85235 1.51059 1.89 0.0762 Greene 248, problem 5e - X2 G-Q test 29 14:56 Sunday, May 1, 2005 The REG Procedure Model: MODEL1 Dependent Variable: Y Number of Observations Read 20 Number of Observations Used 20 Analysis of Variance Sum of Mean Source DF Squares Square F Value Pr > F Model 2 272.22847 136.11423 1.92 0.1769 Error 17 1204.50841 70.85344 Corrected Total 19 1476.73688 Root MSE 8.41745 R-Square 0.1843 Dependent Mean 1.90400 Adj R-Sq 0.0884 Coeff Var 442.09287 Parameter Estimates Parameter Standard Variable DF Estimate Error t Value Pr > |t| Intercept 1 6.60210 3.39639 1.94 0.0687 X1 1 1.93843 2.21866 0.87 0.3945 X2 1 -2.10420 1.26841 -1.66 0.1155 Greene 248, problem 6 30 14:56 Sunday, May 1, 2005 The REG Procedure Model: MODEL1 Dependent Variable: Y Number of Observations Read 50 Number of Observations Used 50 Analysis of Variance Sum of Mean Source DF Squares Square F Value Pr > F Model 2 75.32584 37.66292 0.93 0.4033 Error 47 1911.92754 40.67931 Corrected Total 49 1987.25338 Root MSE 6.37803 R-Square 0.0379 Dependent Mean 0.39380 Adj R-Sq -0.0030 Coeff Var 1619.61233 Parameter Estimates Parameter Standard Variable DF Estimate Error t Value Pr > |t| Intercept 1 0.19039 0.91445 0.21 0.8360 X1 1 1.13113 0.98260 1.15 0.2555 X2 1 0.37682 0.43992 0.86 0.3960 Greene 248, problem 6 31 14:56 Sunday, May 1, 2005 The REG Procedure Model: MODEL1 Dependent Variable: lne2 Number of Observations Read 50 Number of Observations Used 50 Analysis of Variance Sum of Mean Source DF Squares Square F Value Pr > F Model 1 5.58252 5.58252 0.93 0.3390 Error 48 287.23769 5.98412 Corrected Total 49 292.82020 Root MSE 2.44625 R-Square 0.0191 Dependent Mean 1.00622 Adj R-Sq -0.0014 Coeff Var 243.11153 Parameter Estimates Parameter Standard Variable DF Estimate Error t Value Pr > |t| Intercept 1 0.97143 0.34782 2.79 0.0075 X2 1 0.16183 0.16755 0.97 0.3390 Greene 248, problem 6 32 14:56 Sunday, May 1, 2005 The REG Procedure Model: MODEL1 Dependent Variable: Y_weight Number of Observations Read 50 Number of Observations Used 50 NOTE: No intercept in model. R-Square is redefined. Analysis of Variance Sum of Mean Source DF Squares Square F Value Pr > F Model 3 83.61005 27.87002 2.91 0.0444 Error 47 450.90211 9.59366 Uncorrected Total 50 534.51215 Root MSE 3.09736 R-Square 0.1564 Dependent Mean 0.13482 Adj R-Sq 0.1026 Coeff Var 2297.35672 Parameter Estimates Parameter Standard Variable DF Estimate Error t Value Pr > |t| const_weight 1 0.28595 0.72816 0.39 0.6963 X1_weight 1 0.78237 0.77535 1.01 0.3181 X2_weight 1 1.11704 0.39048 2.86 0.0063