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Updated Versions of the Project Output.

This is the Output You Should Aim to Replicate

What is this page all about?

Somewhere in your project, you should prove that you are at least able to reproduce Dr. Kamstra's results. That means that you should be able to reproduce the output for your project number almost exactly. To get a high mark, you should go beyond this point, doing further studies and tests. See the Project page for more information on this.

I suggest you place your replication of Dr. Kamstra's results in an appendix. Maybe Appendix A.

Important Note:

For some of you, your output will not be exactly the same as Dr. Kamstra's handouts for your projects. This is because some of the CANSIM Data has been recently updated. The following list contains the output that you should be able to exactly reproduce. The list was based on CANSIM data as of November 10, 1996. CANSIM regularly updates their data, correcting for old mistakes. If you collect your data much past Novemeber 10, 1996, your output might be out of wack with these results. However, the differences should be very minor.

How minor are the differences? In the STAT output, the only thing that should differ is the LAGY output. Speak to your TA or the LAB TA if you are worried about the the differences being too large.

TABLE OF CONTENTS

  • Project # 1
  • Project # 2
  • Project # 3
  • Project # 4
  • Project # 5
  • Project # 6
  • Project # 7
  • Project # 8
  • Project # 9
  • Project # 10
    		•
  • Project # 11
  • Project # 12
  • Project # 13
  • Project # 14
  • Project # 15
  • Project # 16
  • Project # 17
  • Project # 18
  • Project # 19
  • Project # 20

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    rboothby@sfu.ca


    Project # 1


    This is exactly the output you need to match for the STAT and OLS portion of this project's output. If this portion of the output matches exactly, then the rest of your output will be fine.
    |_ stat x1 x2 x3 x4 lagy/pcor NAME N MEAN ST. DEV VARIANCE MINIMUM MAXIMUM X1 244 65.249 2.0410 4.1659 60.000 69.700 X2 244 -0.16356E-01 0.62811 0.39453 -3.1061 3.4487 X3 244 -0.22969E-02 0.69818E-02 0.48745E-04 -0.34000E-01 0.16179E-01 X4 244 1.2321 0.10537 0.11102E-01 0.97216 1.4129 LAGY 244 0.84320E+06 0.17601E+06 0.30980E+11 0.45991E+06 0.13634E+07 CORRELATION MATRIX OF VARIABLES - 244 OBSERVATIONS X1 1.0000 X2 -0.33485E-01 1.0000 X3 0.25631E-01 0.88656E-01 1.0000 X4 0.34559 0.26381E-01 0.23335 1.0000 LAGY 0.21154 -0.56799E-02 -0.36549E-01 0.23258 1.0000 X1 X2 X3 X4 LAGY |_* (2)Multiregression estimation 1 |_ ols y lagy x1 x2 x3 x4 d1 d2 d3/noanova rstat resid=err predict=yhat dlag REQUIRED MEMORY IS PAR= 63 CURRENT PAR= 234 OLS ESTIMATION 244 OBSERVATIONS DEPENDENT VARIABLE = Y ...NOTE..SAMPLE RANGE SET TO: 3, 246 R-SQUARE = 0.5652 R-SQUARE ADJUSTED = 0.5504 VARIANCE OF THE ESTIMATE-SIGMA**2 = 0.13931E+11 STANDARD ERROR OF THE ESTIMATE-SIGMA = 0.11803E+06 SUM OF SQUARED ERRORS-SSE= 0.32739E+13 MEAN OF DEPENDENT VARIABLE = 0.84450E+06 LOG OF THE LIKELIHOOD FUNCTION = -3191.24 VARIABLE ESTIMATED STANDARD T-RATIO PARTIAL STANDARDIZED ELASTICITY NAME COEFFICIENT ERROR 235 DF P-VALUE CORR. COEFFICIENT AT MEANS LAGY 0.60188 0.5131E-01 11.73 0.000 0.608 0.6019 0.6010 X1 1630.6 4807. 0.3392 0.735 0.022 0.0189 0.1260 X2 3220.9 0.1212E+05 0.2658 0.791 0.017 0.0115 -0.0001 X3 -0.10109E+07 0.1153E+07 -0.8771 0.381-0.057 -0.0401 0.0027 X4 0.15984E+06 0.8627E+05 1.853 0.065 0.120 0.0957 0.2332 D1 -91010. 0.2414E+05 -3.770 0.000-0.239 -0.2243 -0.0269 D2 62922. 0.2268E+05 2.774 0.006 0.178 0.1568 0.0192 D3 -11120. 0.2398E+05 -0.4638 0.643-0.030 -0.0273 -0.0032 CONSTANT 40626. 0.2827E+06 0.1437 0.886 0.009 0.0000 0.0481

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    rboothby@sfu.ca


    Project # 2


    This is exactly the output you need to match for the STAT and OLS portion of this project's output. If this portion of the output matches exactly, then the rest of your output will be fine.
    |_ stat x1 x2 x3 x4 lagy/pcor NAME N MEAN ST. DEV VARIANCE MINIMUM MAXIMUM X1 244 65.249 2.0410 4.1659 60.000 69.700 X2 244 -0.16356E-01 0.62811 0.39453 -3.1061 3.4487 X3 244 -0.22969E-02 0.69818E-02 0.48745E-04 -0.34000E-01 0.16179E-01 X4 244 1.2321 0.10537 0.11102E-01 0.97216 1.4129 LAGY 244 0.33394E+06 0.10961E+06 0.12015E+11 0.15808E+06 0.64061E+06 CORRELATION MATRIX OF VARIABLES - 244 OBSERVATIONS X1 1.0000 X2 -0.33485E-01 1.0000 X3 0.25631E-01 0.88656E-01 1.0000 X4 0.34559 0.26381E-01 0.23335 1.0000 LAGY -0.45705 0.20978E-01 -0.18449 0.55716E-01 1.0000 X1 X2 X3 X4 LAGY |_* (2)Multiregression estimation 1 |_ ols y lagy x1 x2 x3 x4 d1 d2 d3/noanova rstat resid=err predict=yhat dlag REQUIRED MEMORY IS PAR= 63 CURRENT PAR= 234 OLS ESTIMATION 244 OBSERVATIONS DEPENDENT VARIABLE = Y ...NOTE..SAMPLE RANGE SET TO: 3, 246 R-SQUARE = 0.8747 R-SQUARE ADJUSTED = 0.8704 VARIANCE OF THE ESTIMATE-SIGMA**2 = 0.15575E+10 STANDARD ERROR OF THE ESTIMATE-SIGMA = 39466. SUM OF SQUARED ERRORS-SSE= 0.36602E+12 MEAN OF DEPENDENT VARIABLE = 0.33429E+06 LOG OF THE LIKELIHOOD FUNCTION = -2923.93 VARIABLE ESTIMATED STANDARD T-RATIO PARTIAL STANDARDIZED ELASTICITY NAME COEFFICIENT ERROR 235 DF P-VALUE CORR. COEFFICIENT AT MEANS LAGY 0.90539 0.2881E-01 31.43 0.000 0.899 0.9053 0.9044 X1 -4278.5 1830. -2.339 0.020-0.151 -0.0797 -0.8351 X2 3327.6 4053. 0.8211 0.412 0.053 0.0191 -0.0002 X3 0.28123E+06 0.3939E+06 0.7140 0.476 0.047 0.0179 -0.0019 X4 9549.4 0.2904E+05 0.3288 0.743 0.021 0.0092 0.0352 D1 -35615. 7473. -4.766 0.000-0.297 -0.1410 -0.0266 D2 -48634. 7431. -6.545 0.000-0.393 -0.1946 -0.0376 D3 -28715. 8103. -3.544 0.000-0.225 -0.1130 -0.0211 CONSTANT 0.32857E+06 0.1086E+06 3.026 0.003 0.194 0.0000 0.9829

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    Project # 3


    This is exactly the output you need to match for the STAT and OLS portion of this project's output. If this portion of the output matches exactly, then the rest of your output will be fine.
    |_ stat x1 x2 x3 x4 lagy/pcor NAME N MEAN ST. DEV VARIANCE MINIMUM MAXIMUM X1 244 65.249 2.0410 4.1659 60.000 69.700 X2 244 -0.16356E-01 0.62811 0.39453 -3.1061 3.4487 X3 244 -0.22969E-02 0.69818E-02 0.48745E-04 -0.34000E-01 0.16179E-01 X4 244 1.2321 0.10537 0.11102E-01 0.97216 1.4129 LAGY 244 24215. 9743.0 0.94926E+08 8478.9 68904. CORRELATION MATRIX OF VARIABLES - 244 OBSERVATIONS X1 1.0000 X2 -0.33485E-01 1.0000 X3 0.25631E-01 0.88656E-01 1.0000 X4 0.34559 0.26381E-01 0.23335 1.0000 LAGY 0.16607 0.53886E-01 0.14901 0.29668 1.0000 X1 X2 X3 X4 LAGY |_* (2)Multiregression estimation 1 |_ ols y lagy x1 x2 x3 x4 d1 d2 d3/noanova rstat resid=err predict=yhat dlag REQUIRED MEMORY IS PAR= 63 CURRENT PAR= 234 OLS ESTIMATION 244 OBSERVATIONS DEPENDENT VARIABLE = Y ...NOTE..SAMPLE RANGE SET TO: 3, 246 R-SQUARE = 0.3225 R-SQUARE ADJUSTED = 0.2994 VARIANCE OF THE ESTIMATE-SIGMA**2 = 0.66403E+08 STANDARD ERROR OF THE ESTIMATE-SIGMA = 8148.8 SUM OF SQUARED ERRORS-SSE= 0.15605E+11 MEAN OF DEPENDENT VARIABLE = 24221. LOG OF THE LIKELIHOOD FUNCTION = -2539.01 VARIABLE ESTIMATED STANDARD T-RATIO PARTIAL STANDARDIZED ELASTICITY NAME COEFFICIENT ERROR 235 DF P-VALUE CORR. COEFFICIENT AT MEANS LAGY 0.26743 0.6011E-01 4.449 0.000 0.279 0.2676 0.2674 X1 1295.3 340.8 3.801 0.000 0.241 0.2716 3.4894 X2 -561.98 837.4 -0.6711 0.503-0.044 -0.0363 0.0004 X3 0.17667E+06 0.7898E+05 2.237 0.026 0.144 0.1267 -0.0168 X4 7078.9 5764. 1.228 0.221 0.080 0.0766 0.3601 D1 -2254.3 1511. -1.492 0.137-0.097 -0.1005 -0.0233 D2 -7645.3 1558. -4.907 0.000-0.305 -0.3444 -0.0815 D3 -7813.6 1739. -4.494 0.000-0.281 -0.3463 -0.0793 CONSTANT -70638. 0.1994E+05 -3.543 0.000-0.225 0.0000 -2.9164

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    Project # 4


    This is exactly the output you need to match for the STAT and OLS portion of this project's output. If this portion of the output matches exactly, then the rest of your output will be fine.
    |_ stat x1 x2 x3 x4 lagy/pcor NAME N MEAN ST. DEV VARIANCE MINIMUM MAXIMUM X1 244 65.249 2.0410 4.1659 60.000 69.700 X2 244 -0.16356E-01 0.62811 0.39453 -3.1061 3.4487 X3 244 -0.22969E-02 0.69818E-02 0.48745E-04 -0.34000E-01 0.16179E-01 X4 244 1.2321 0.10537 0.11102E-01 0.97216 1.4129 LAGY 244 0.11103E+06 63193. 0.39934E+10 27585. 0.31582E+06 CORRELATION MATRIX OF VARIABLES - 244 OBSERVATIONS X1 1.0000 X2 -0.33485E-01 1.0000 X3 0.25631E-01 0.88656E-01 1.0000 X4 0.34559 0.26381E-01 0.23335 1.0000 LAGY -0.16105 0.21182E-01 -0.17222 -0.32625 1.0000 X1 X2 X3 X4 LAGY |_* (2)Multiregression estimation 1 |_ ols y lagy x1 x2 x3 x4 d1 d2 d3/noanova rstat resid=err predict=yhat dlag REQUIRED MEMORY IS PAR= 63 CURRENT PAR= 234 OLS ESTIMATION 244 OBSERVATIONS DEPENDENT VARIABLE = Y ...NOTE..SAMPLE RANGE SET TO: 3, 246 R-SQUARE = 0.6262 R-SQUARE ADJUSTED = 0.6135 VARIANCE OF THE ESTIMATE-SIGMA**2 = 0.15404E+10 STANDARD ERROR OF THE ESTIMATE-SIGMA = 39248. SUM OF SQUARED ERRORS-SSE= 0.36199E+12 MEAN OF DEPENDENT VARIABLE = 0.11111E+06 LOG OF THE LIKELIHOOD FUNCTION = -2922.58 VARIABLE ESTIMATED STANDARD T-RATIO PARTIAL STANDARDIZED ELASTICITY NAME COEFFICIENT ERROR 235 DF P-VALUE CORR. COEFFICIENT AT MEANS LAGY 0.62585 0.4717E-01 13.27 0.000 0.654 0.6265 0.6254 X1 -3393.6 1654. -2.052 0.041-0.133 -0.1097 -1.9930 X2 3095.6 4035. 0.7672 0.444 0.050 0.0308 -0.0005 X3 -0.27598E+06 0.3848E+06 -0.7173 0.474-0.047 -0.0305 0.0057 X4 -51455. 0.2783E+05 -1.849 0.066-0.120 -0.0859 -0.5706 D1 -29104. 7629. -3.815 0.000-0.241 -0.2000 -0.0655 D2 22863. 7299. 3.132 0.002 0.200 0.1588 0.0531 D3 15448. 8101. 1.907 0.058 0.123 0.1056 0.0342 CONSTANT 0.32343E+06 0.1016E+06 3.185 0.002 0.203 0.0000 2.9110

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    Project # 5


    This is exactly the output you need to match for the STAT and OLS portion of this project's output. If this portion of the output matches exactly, then the rest of your output will be fine.
    |_ stat x1 x2 x3 x4 lagy/pcor NAME N MEAN ST. DEV VARIANCE MINIMUM MAXIMUM X1 244 65.249 2.0410 4.1659 60.000 69.700 X2 244 -0.16356E-01 0.62811 0.39453 -3.1061 3.4487 X3 244 -0.22969E-02 0.69818E-02 0.48745E-04 -0.34000E-01 0.16179E-01 X4 244 1.2321 0.10537 0.11102E-01 0.97216 1.4129 LAGY 244 58659. 23485. 0.55153E+09 11524. 0.16643E+06 CORRELATION MATRIX OF VARIABLES - 244 OBSERVATIONS X1 1.0000 X2 -0.33485E-01 1.0000 X3 0.25631E-01 0.88656E-01 1.0000 X4 0.34559 0.26381E-01 0.23335 1.0000 LAGY 0.19033 0.52460E-01 -0.13854 -0.14016 1.0000 X1 X2 X3 X4 LAGY |_* (2)Multiregression estimation 1 |_ ols y lagy x1 x2 x3 x4 d1 d2 d3/noanova rstat resid=err predict=yhat dlag REQUIRED MEMORY IS PAR= 63 CURRENT PAR= 234 OLS ESTIMATION 244 OBSERVATIONS DEPENDENT VARIABLE = Y ...NOTE..SAMPLE RANGE SET TO: 3, 246 R-SQUARE = 0.1191 R-SQUARE ADJUSTED = 0.0892 VARIANCE OF THE ESTIMATE-SIGMA**2 = 0.50151E+09 STANDARD ERROR OF THE ESTIMATE-SIGMA = 22394. SUM OF SQUARED ERRORS-SSE= 0.11785E+12 MEAN OF DEPENDENT VARIABLE = 58597. LOG OF THE LIKELIHOOD FUNCTION = -2785.68 VARIABLE ESTIMATED STANDARD T-RATIO PARTIAL STANDARDIZED ELASTICITY NAME COEFFICIENT ERROR 235 DF P-VALUE CORR. COEFFICIENT AT MEANS LAGY 0.91192E-01 0.6526E-01 1.397 0.164 0.091 0.0913 0.0913 X1 3577.3 954.1 3.749 0.000 0.238 0.3112 3.9835 X2 3823.5 2306. 1.658 0.099 0.108 0.1023 -0.0011 X3 -0.17722E+06 0.2162E+06 -0.8197 0.413-0.053 -0.0527 0.0069 X4 -47104. 0.1609E+05 -2.927 0.004-0.188 -0.2115 -0.9904 D1 7416.9 4142. 1.791 0.075 0.116 0.1372 0.0316 D2 1663.4 4139. 0.4019 0.688 0.026 0.0311 0.0073 D3 -5928.8 4586. -1.293 0.197-0.084 -0.1090 -0.0249 CONSTANT -0.12330E+06 0.5427E+05 -2.272 0.024-0.147 0.0000 -2.1043

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    Project # 6


    This is exactly the output you need to match for the STAT and OLS portion of this project's output. If this portion of the output matches exactly, then the rest of your output will be fine.
    |_ stat x1 x2 x3 x4 lagy/pcor NAME N MEAN ST. DEV VARIANCE MINIMUM MAXIMUM X1 244 65.249 2.0410 4.1659 60.000 69.700 X2 244 -0.16356E-01 0.62811 0.39453 -3.1061 3.4487 X3 244 -0.22969E-02 0.69818E-02 0.48745E-04 -0.34000E-01 0.16179E-01 X4 244 1.2321 0.10537 0.11102E-01 0.97216 1.4129 LAGY 244 53281. 28100. 0.78962E+09 785.55 0.16538E+06 CORRELATION MATRIX OF VARIABLES - 244 OBSERVATIONS X1 1.0000 X2 -0.33485E-01 1.0000 X3 0.25631E-01 0.88656E-01 1.0000 X4 0.34559 0.26381E-01 0.23335 1.0000 LAGY -0.16648 0.13419E-01 -0.10345 -0.37359 1.0000 X1 X2 X3 X4 LAGY |_* (2)Multiregression estimation 1 |_ ols y lagy x1 x2 x3 x4 d1 d2 d3/noanova rstat resid=err predict=yhat dlag REQUIRED MEMORY IS PAR= 63 CURRENT PAR= 234 OLS ESTIMATION 244 OBSERVATIONS DEPENDENT VARIABLE = Y ...NOTE..SAMPLE RANGE SET TO: 3, 246 R-SQUARE = 0.2424 R-SQUARE ADJUSTED = 0.2166 VARIANCE OF THE ESTIMATE-SIGMA**2 = 0.61234E+09 STANDARD ERROR OF THE ESTIMATE-SIGMA = 24746. SUM OF SQUARED ERRORS-SSE= 0.14390E+12 MEAN OF DEPENDENT VARIABLE = 53166. LOG OF THE LIKELIHOOD FUNCTION = -2810.04 VARIABLE ESTIMATED STANDARD T-RATIO PARTIAL STANDARDIZED ELASTICITY NAME COEFFICIENT ERROR 235 DF P-VALUE CORR. COEFFICIENT AT MEANS LAGY 0.32086 0.6205E-01 5.171 0.000 0.320 0.3225 0.3216 X1 -661.44 1007. -0.6567 0.512-0.043 -0.0483 -0.8118 X2 1012.0 2542. 0.3981 0.691 0.026 0.0227 -0.0003 X3 0.11130E+06 0.2381E+06 0.4674 0.641 0.030 0.0278 -0.0048 X4 -59920. 0.1830E+05 -3.275 0.001-0.209 -0.2258 -1.3886 D1 4187.3 4584. 0.9135 0.362 0.059 0.0650 0.0197 D2 7520.2 4572. 1.645 0.101 0.107 0.1180 0.0365 D3 -24.784 5046. -0.4912E-02 0.996 0.000 -0.0004 -0.0001 CONSTANT 0.15035E+06 0.6023E+05 2.496 0.013 0.161 0.0000 2.8279

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    Project # 7


    This is exactly the output you need to match for the STAT and OLS portion of this project's output. If this portion of the output matches exactly, then the rest of your output will be fine.
    |_ stat x1 x2 x3 x4 lagy/pcor NAME N MEAN ST. DEV VARIANCE MINIMUM MAXIMUM X1 244 65.249 2.0410 4.1659 60.000 69.700 X2 244 -0.16356E-01 0.62811 0.39453 -3.1061 3.4487 X3 244 -0.22969E-02 0.69818E-02 0.48745E-04 -0.34000E-01 0.16179E-01 X4 244 1.2321 0.10537 0.11102E-01 0.97216 1.4129 LAGY 244 15691. 6844.4 0.46845E+08 3527.1 35117. CORRELATION MATRIX OF VARIABLES - 244 OBSERVATIONS X1 1.0000 X2 -0.33485E-01 1.0000 X3 0.25631E-01 0.88656E-01 1.0000 X4 0.34559 0.26381E-01 0.23335 1.0000 LAGY 0.47831 0.53911E-01 0.10770 0.49564 1.0000 X1 X2 X3 X4 LAGY |_* (2)Multiregression estimation 1 |_ ols y lagy x1 x2 x3 x4 d1 d2 d3/noanova rstat resid=err predict=yhat dlag REQUIRED MEMORY IS PAR= 63 CURRENT PAR= 234 OLS ESTIMATION 244 OBSERVATIONS DEPENDENT VARIABLE = Y ...NOTE..SAMPLE RANGE SET TO: 3, 246 R-SQUARE = 0.9026 R-SQUARE ADJUSTED = 0.8993 VARIANCE OF THE ESTIMATE-SIGMA**2 = 0.47285E+07 STANDARD ERROR OF THE ESTIMATE-SIGMA = 2174.5 SUM OF SQUARED ERRORS-SSE= 0.11112E+10 MEAN OF DEPENDENT VARIABLE = 15768. LOG OF THE LIKELIHOOD FUNCTION = -2216.67 VARIABLE ESTIMATED STANDARD T-RATIO PARTIAL STANDARDIZED ELASTICITY NAME COEFFICIENT ERROR 235 DF P-VALUE CORR. COEFFICIENT AT MEANS LAGY 0.90772 0.2592E-01 35.02 0.000 0.916 0.9068 0.9033 X1 198.30 96.53 2.054 0.041 0.133 0.0591 0.8205 X2 61.516 223.8 0.2749 0.784 0.018 0.0056 -0.0001 X3 56605. 0.2093E+05 2.705 0.007 0.174 0.0577 -0.0082 X4 1486.0 1618. 0.9187 0.359 0.060 0.0229 0.1161 D1 2053.2 402.9 5.097 0.000 0.315 0.1300 0.0326 D2 913.08 402.2 2.270 0.024 0.146 0.0584 0.0150 D3 241.36 450.6 0.5356 0.593 0.035 0.0152 0.0038 CONSTANT -13921. 5870. -2.371 0.019-0.153 0.0000 -0.8829

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    Project # 8


    This is exactly the output you need to match for the STAT and OLS portion of this project's output. If this portion of the output matches exactly, then the rest of your output will be fine.
    |_ stat x1 x2 x3 x4 lagy/pcor NAME N MEAN ST. DEV VARIANCE MINIMUM MAXIMUM X1 244 65.249 2.0410 4.1659 60.000 69.700 X2 244 -0.16356E-01 0.62811 0.39453 -3.1061 3.4487 X3 244 -0.22969E-02 0.69818E-02 0.48745E-04 -0.34000E-01 0.16179E-01 X4 244 1.2321 0.10537 0.11102E-01 0.97216 1.4129 LAGY 244 0.37430E+06 0.10535E+06 0.11099E+11 0.18497E+06 0.68158E+06 CORRELATION MATRIX OF VARIABLES - 244 OBSERVATIONS X1 1.0000 X2 -0.33485E-01 1.0000 X3 0.25631E-01 0.88656E-01 1.0000 X4 0.34559 0.26381E-01 0.23335 1.0000 LAGY 0.65414E-01 -0.85070E-01 0.18045 0.44006 1.0000 X1 X2 X3 X4 LAGY |_* (2)Multiregression estimation 1 |_ ols y lagy x1 x2 x3 x4 d1 d2 d3/noanova rstat resid=err predict=yhat dlag REQUIRED MEMORY IS PAR= 63 CURRENT PAR= 234 OLS ESTIMATION 244 OBSERVATIONS DEPENDENT VARIABLE = Y ...NOTE..SAMPLE RANGE SET TO: 3, 246 R-SQUARE = 0.7712 R-SQUARE ADJUSTED = 0.7634 VARIANCE OF THE ESTIMATE-SIGMA**2 = 0.27166E+10 STANDARD ERROR OF THE ESTIMATE-SIGMA = 52121. SUM OF SQUARED ERRORS-SSE= 0.63840E+12 MEAN OF DEPENDENT VARIABLE = 0.37537E+06 LOG OF THE LIKELIHOOD FUNCTION = -2991.80 VARIABLE ESTIMATED STANDARD T-RATIO PARTIAL STANDARDIZED ELASTICITY NAME COEFFICIENT ERROR 235 DF P-VALUE CORR. COEFFICIENT AT MEANS LAGY 0.84320 0.3601E-01 23.42 0.000 0.837 0.8290 0.8408 X1 -2301.7 2125. -1.083 0.280-0.070 -0.0438 -0.4001 X2 -5312.7 5391. -0.9855 0.325-0.064 -0.0311 0.0002 X3 0.40173E+06 0.5040E+06 0.7971 0.426 0.052 0.0262 -0.0025 X4 99850. 0.3978E+05 2.510 0.013 0.162 0.0982 0.3277 D1 -16586. 9641. -1.720 0.087-0.112 -0.0672 -0.0110 D2 -3576.7 9612. -0.3721 0.710-0.024 -0.0146 -0.0025 D3 2311.2 0.1059E+05 0.2183 0.827 0.014 0.0093 0.0015 CONSTANT 92252. 0.1243E+06 0.7424 0.459 0.048 0.0000 0.2458

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    Project # 9


    This is exactly the output you need to match for the STAT and OLS portion of this project's output. If this portion of the output matches exactly, then the rest of your output will be fine.
    |_ stat x1 x2 x3 x4 lagy/pcor NAME N MEAN ST. DEV VARIANCE MINIMUM MAXIMUM X1 244 65.249 2.0410 4.1659 60.000 69.700 X2 244 -0.16356E-01 0.62811 0.39453 -3.1061 3.4487 X3 244 -0.22969E-02 0.69818E-02 0.48745E-04 -0.34000E-01 0.16179E-01 X4 244 1.2321 0.10537 0.11102E-01 0.97216 1.4129 LAGY 244 0.13316E+06 39334. 0.15472E+10 25416. 0.27590E+06 CORRELATION MATRIX OF VARIABLES - 244 OBSERVATIONS X1 1.0000 X2 -0.33485E-01 1.0000 X3 0.25631E-01 0.88656E-01 1.0000 X4 0.34559 0.26381E-01 0.23335 1.0000 LAGY 0.33269 0.15966E-01 -0.20247E-02 0.32516 1.0000 X1 X2 X3 X4 LAGY |_* (2)Multiregression estimation 1 |_ ols y lagy x1 x2 x3 x4 d1 d2 d3/noanova rstat resid=err predict=yhat dlag REQUIRED MEMORY IS PAR= 63 CURRENT PAR= 234 OLS ESTIMATION 244 OBSERVATIONS DEPENDENT VARIABLE = Y ...NOTE..SAMPLE RANGE SET TO: 3, 246 R-SQUARE = 0.1779 R-SQUARE ADJUSTED = 0.1499 VARIANCE OF THE ESTIMATE-SIGMA**2 = 0.13163E+10 STANDARD ERROR OF THE ESTIMATE-SIGMA = 36281. SUM OF SQUARED ERRORS-SSE= 0.30933E+12 MEAN OF DEPENDENT VARIABLE = 0.13311E+06 LOG OF THE LIKELIHOOD FUNCTION = -2903.40 VARIABLE ESTIMATED STANDARD T-RATIO PARTIAL STANDARDIZED ELASTICITY NAME COEFFICIENT ERROR 235 DF P-VALUE CORR. COEFFICIENT AT MEANS LAGY -0.35492E-01 0.6549E-01 -0.5419 0.588-0.035 -0.0355 -0.0355 X1 5488.1 1531. 3.585 0.000 0.228 0.2847 2.6902 X2 -5797.3 3726. -1.556 0.121-0.101 -0.0925 0.0007 X3 0.43593E+06 0.3497E+06 1.247 0.214 0.081 0.0773 -0.0075 X4 79880. 0.2592E+05 3.082 0.002 0.197 0.2139 0.7394 D1 11654. 6709. 1.737 0.084 0.113 0.1285 0.0219 D2 7714.6 6687. 1.154 0.250 0.075 0.0860 0.0150 D3 -10825. 7435. -1.456 0.147-0.095 -0.1187 -0.0200 CONSTANT -0.32002E+06 0.8978E+05 -3.564 0.000-0.226 0.0000 -2.4042

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    Project # 10


    This is exactly the output you need to match for the STAT and OLS portion of this project's output. If this portion of the output matches exactly, then the rest of your output will be fine.
    |_ stat x1 x2 x3 x4 lagy/pcor NAME N MEAN ST. DEV VARIANCE MINIMUM MAXIMUM X1 244 65.249 2.0410 4.1659 60.000 69.700 X2 244 -0.16356E-01 0.62811 0.39453 -3.1061 3.4487 X3 244 -0.22969E-02 0.69818E-02 0.48745E-04 -0.34000E-01 0.16179E-01 X4 244 1.2321 0.10537 0.11102E-01 0.97216 1.4129 LAGY 244 49523. 32763. 0.10734E+10 4711.3 0.15558E+06 CORRELATION MATRIX OF VARIABLES - 244 OBSERVATIONS X1 1.0000 X2 -0.33485E-01 1.0000 X3 0.25631E-01 0.88656E-01 1.0000 X4 0.34559 0.26381E-01 0.23335 1.0000 LAGY 0.29160 -0.30774E-01 -0.10844 0.31987 1.0000 X1 X2 X3 X4 LAGY |_* (2)Multiregression estimation 1 |_ ols y lagy x1 x2 x3 x4 d1 d2 d3/noanova rstat resid=err predict=yhat dlag REQUIRED MEMORY IS PAR= 63 CURRENT PAR= 234 OLS ESTIMATION 244 OBSERVATIONS DEPENDENT VARIABLE = Y ...NOTE..SAMPLE RANGE SET TO: 3, 246 R-SQUARE = 0.5245 R-SQUARE ADJUSTED = 0.5083 VARIANCE OF THE ESTIMATE-SIGMA**2 = 0.52744E+09 STANDARD ERROR OF THE ESTIMATE-SIGMA = 22966. SUM OF SQUARED ERRORS-SSE= 0.12395E+12 MEAN OF DEPENDENT VARIABLE = 49534. LOG OF THE LIKELIHOOD FUNCTION = -2791.83 VARIABLE ESTIMATED STANDARD T-RATIO PARTIAL STANDARDIZED ELASTICITY NAME COEFFICIENT ERROR 235 DF P-VALUE CORR. COEFFICIENT AT MEANS LAGY 0.68444 0.4979E-01 13.75 0.000 0.668 0.6847 0.6843 X1 109.15 959.7 0.1137 0.910 0.007 0.0068 0.1438 X2 1557.8 2358. 0.6605 0.510 0.043 0.0299 -0.0005 X3 14404. 0.2243E+06 0.6420E-01 0.949 0.004 0.0031 -0.0007 X4 29043. 0.1654E+05 1.756 0.080 0.114 0.0934 0.7224 D1 237.30 4246. 0.5589E-01 0.955 0.004 0.0031 0.0012 D2 4155.3 4239. 0.9803 0.328 0.064 0.0556 0.0217 D3 677.25 4698. 0.1442 0.885 0.009 0.0089 0.0034 CONSTANT -28507. 0.5721E+05 -0.4983 0.619-0.032 0.0000 -0.5755

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    Project # 11


    This is exactly the output you need to match for the STAT and OLS portion of this project's output. If this portion of the output matches exactly, then the rest of your output will be fine.
    |_ stat x1 x2 x3 x4 lagy/pcor NAME N MEAN ST. DEV VARIANCE MINIMUM MAXIMUM X1 244 65.249 2.0410 4.1659 60.000 69.700 X2 244 -0.16356E-01 0.62811 0.39453 -3.1061 3.4487 X3 244 -0.22969E-02 0.69818E-02 0.48745E-04 -0.34000E-01 0.16179E-01 X4 244 1.2321 0.10537 0.11102E-01 0.97216 1.4129 LAGY 244 11613. 3964.6 0.15718E+08 3361.1 25088. CORRELATION MATRIX OF VARIABLES - 244 OBSERVATIONS X1 1.0000 X2 -0.33485E-01 1.0000 X3 0.25631E-01 0.88656E-01 1.0000 X4 0.34559 0.26381E-01 0.23335 1.0000 LAGY 0.38040 0.34531E-02 0.65921E-01 0.42739 1.0000 X1 X2 X3 X4 LAGY |_* (2)Multiregression estimation 1 |_ ols y lagy x1 x2 x3 x4 d1 d2 d3/noanova rstat resid=err predict=yhat dlag REQUIRED MEMORY IS PAR= 63 CURRENT PAR= 234 OLS ESTIMATION 244 OBSERVATIONS DEPENDENT VARIABLE = Y ...NOTE..SAMPLE RANGE SET TO: 3, 246 R-SQUARE = 0.5768 R-SQUARE ADJUSTED = 0.5624 VARIANCE OF THE ESTIMATE-SIGMA**2 = 0.68104E+07 STANDARD ERROR OF THE ESTIMATE-SIGMA = 2609.7 SUM OF SQUARED ERRORS-SSE= 0.16004E+10 MEAN OF DEPENDENT VARIABLE = 11656. LOG OF THE LIKELIHOOD FUNCTION = -2261.18 VARIABLE ESTIMATED STANDARD T-RATIO PARTIAL STANDARDIZED ELASTICITY NAME COEFFICIENT ERROR 235 DF P-VALUE CORR. COEFFICIENT AT MEANS LAGY 0.63954 0.4977E-01 12.85 0.000 0.642 0.6427 0.6371 X1 296.36 112.4 2.636 0.009 0.169 0.1533 1.6590 X2 238.05 267.9 0.8884 0.375 0.058 0.0379 -0.0003 X3 59347. 0.2511E+05 2.364 0.019 0.152 0.1050 -0.0117 X4 2480.0 1901. 1.305 0.193 0.085 0.0662 0.2621 D1 512.26 482.5 1.062 0.289 0.069 0.0563 0.0110 D2 -479.81 481.0 -0.9975 0.320-0.065 -0.0533 -0.0106 D3 -481.38 539.7 -0.8919 0.373-0.058 -0.0527 -0.0102 CONSTANT -17909. 6691. -2.677 0.008-0.172 0.0000 -1.5364

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    Project # 12


    This is exactly the output you need to match for the STAT and OLS portion of this project's output. If this portion of the output matches exactly, then the rest of your output will be fine.
    |_ stat x1 x2 x3 x4 lagy/pcor NAME N MEAN ST. DEV VARIANCE MINIMUM MAXIMUM X1 244 65.249 2.0410 4.1659 60.000 69.700 X2 244 -0.16356E-01 0.62811 0.39453 -3.1061 3.4487 X3 244 -0.22969E-02 0.69818E-02 0.48745E-04 -0.34000E-01 0.16179E-01 X4 244 1.2321 0.10537 0.11102E-01 0.97216 1.4129 LAGY 244 0.43198E+06 0.12554E+06 0.15760E+11 0.21379E+06 0.81792E+06 CORRELATION MATRIX OF VARIABLES - 244 OBSERVATIONS X1 1.0000 X2 -0.33485E-01 1.0000 X3 0.25631E-01 0.88656E-01 1.0000 X4 0.34559 0.26381E-01 0.23335 1.0000 LAGY 0.12945 0.13308 0.18236 0.50291 1.0000 X1 X2 X3 X4 LAGY |_* (2)Multiregression estimation 1 |_ ols y lagy x1 x2 x3 x4 d1 d2 d3/noanova rstat resid=err predict=yhat dlag REQUIRED MEMORY IS PAR= 63 CURRENT PAR= 234 OLS ESTIMATION 244 OBSERVATIONS DEPENDENT VARIABLE = Y ...NOTE..SAMPLE RANGE SET TO: 3, 246 R-SQUARE = 0.8445 R-SQUARE ADJUSTED = 0.8392 VARIANCE OF THE ESTIMATE-SIGMA**2 = 0.25539E+10 STANDARD ERROR OF THE ESTIMATE-SIGMA = 50536. SUM OF SQUARED ERRORS-SSE= 0.60016E+12 MEAN OF DEPENDENT VARIABLE = 0.43384E+06 LOG OF THE LIKELIHOOD FUNCTION = -2984.26 VARIABLE ESTIMATED STANDARD T-RATIO PARTIAL STANDARDIZED ELASTICITY NAME COEFFICIENT ERROR 235 DF P-VALUE CORR. COEFFICIENT AT MEANS LAGY 0.89198 0.3220E-01 27.70 0.000 0.875 0.8885 0.8882 X1 -362.07 2107. -0.1719 0.864-0.011 -0.0059 -0.0545 X2 -4707.3 5247. -0.8971 0.371-0.058 -0.0235 0.0002 X3 0.16018E+07 0.4863E+06 3.294 0.001 0.210 0.0887 -0.0085 X4 36025. 0.4188E+05 0.8603 0.391 0.056 0.0301 0.1023 D1 50781. 9460. 5.368 0.000 0.331 0.1748 0.0293 D2 31104. 9471. 3.284 0.001 0.209 0.1082 0.0185 D3 7128.6 0.1044E+05 0.6830 0.495 0.045 0.0244 0.0040 CONSTANT 8875.9 0.1214E+06 0.7308E-01 0.942 0.005 0.0000 0.0205

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    Project # 13


    This is exactly the output you need to match for the STAT and OLS portion of this project's output. If this portion of the output matches exactly, then the rest of your output will be fine.
    |_ stat x1 x2 x3 x4 lagy/pcor NAME N MEAN ST. DEV VARIANCE MINIMUM MAXIMUM X1 244 65.249 2.0410 4.1659 60.000 69.700 X2 244 -0.16356E-01 0.62811 0.39453 -3.1061 3.4487 X3 244 -0.22969E-02 0.69818E-02 0.48745E-04 -0.34000E-01 0.16179E-01 X4 244 1.2321 0.10537 0.11102E-01 0.97216 1.4129 LAGY 244 11180. 6111.9 0.37355E+08 4683.9 29607. CORRELATION MATRIX OF VARIABLES - 244 OBSERVATIONS X1 1.0000 X2 -0.33485E-01 1.0000 X3 0.25631E-01 0.88656E-01 1.0000 X4 0.34559 0.26381E-01 0.23335 1.0000 LAGY 0.29708E-01 0.34975E-01 0.13844 0.42995 1.0000 X1 X2 X3 X4 LAGY |_* (2)Multiregression estimation 1 |_ ols y lagy x1 x2 x3 x4 d1 d2 d3/noanova rstat resid=err predict=yhat dlag REQUIRED MEMORY IS PAR= 63 CURRENT PAR= 234 OLS ESTIMATION 244 OBSERVATIONS DEPENDENT VARIABLE = Y ...NOTE..SAMPLE RANGE SET TO: 3, 246 R-SQUARE = 0.9066 R-SQUARE ADJUSTED = 0.9034 VARIANCE OF THE ESTIMATE-SIGMA**2 = 0.37195E+07 STANDARD ERROR OF THE ESTIMATE-SIGMA = 1928.6 SUM OF SQUARED ERRORS-SSE= 0.87409E+09 MEAN OF DEPENDENT VARIABLE = 11274. LOG OF THE LIKELIHOOD FUNCTION = -2187.39 VARIABLE ESTIMATED STANDARD T-RATIO PARTIAL STANDARDIZED ELASTICITY NAME COEFFICIENT ERROR 235 DF P-VALUE CORR. COEFFICIENT AT MEANS LAGY 0.93645 0.2297E-01 40.77 0.000 0.936 0.9222 0.9287 X1 -114.91 79.76 -1.441 0.151-0.094 -0.0378 -0.6651 X2 315.16 198.1 1.591 0.113 0.103 0.0319 -0.0005 X3 44218. 0.1856E+05 2.383 0.018 0.154 0.0497 -0.0090 X4 2282.2 1504. 1.518 0.130 0.099 0.0387 0.2494 D1 845.80 357.1 2.369 0.019 0.153 0.0591 0.0188 D2 634.13 357.6 1.773 0.077 0.115 0.0448 0.0145 D3 185.12 392.4 0.4718 0.638 0.031 0.0129 0.0040 CONSTANT 5176.0 4611. 1.123 0.263 0.073 0.0000 0.4591

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    Project # 14


    This is exactly the output you need to match for the STAT and OLS portion of this project's output. If this portion of the output matches exactly, then the rest of your output will be fine.
    |_ stat x1 x2 x3 x4 lagy/pcor NAME N MEAN ST. DEV VARIANCE MINIMUM MAXIMUM X1 244 65.249 2.0410 4.1659 60.000 69.700 X2 244 -0.16356E-01 0.62811 0.39453 -3.1061 3.4487 X3 244 -0.22969E-02 0.69818E-02 0.48745E-04 -0.34000E-01 0.16179E-01 X4 244 1.2321 0.10537 0.11102E-01 0.97216 1.4129 LAGY 244 25544. 8511.1 0.72439E+08 10506. 48037. CORRELATION MATRIX OF VARIABLES - 244 OBSERVATIONS X1 1.0000 X2 -0.33485E-01 1.0000 X3 0.25631E-01 0.88656E-01 1.0000 X4 0.34559 0.26381E-01 0.23335 1.0000 LAGY -0.20150 0.11163 -0.24640E-01 0.28199 1.0000 X1 X2 X3 X4 LAGY |_* (2)Multiregression estimation 1 |_ ols y lagy x1 x2 x3 x4 d1 d2 d3/noanova rstat resid=err predict=yhat dlag REQUIRED MEMORY IS PAR= 63 CURRENT PAR= 234 OLS ESTIMATION 244 OBSERVATIONS DEPENDENT VARIABLE = Y ...NOTE..SAMPLE RANGE SET TO: 3, 246 R-SQUARE = 0.6435 R-SQUARE ADJUSTED = 0.6313 VARIANCE OF THE ESTIMATE-SIGMA**2 = 0.27087E+08 STANDARD ERROR OF THE ESTIMATE-SIGMA = 5204.5 SUM OF SQUARED ERRORS-SSE= 0.63654E+10 MEAN OF DEPENDENT VARIABLE = 25632. LOG OF THE LIKELIHOOD FUNCTION = -2429.61 VARIABLE ESTIMATED STANDARD T-RATIO PARTIAL STANDARDIZED ELASTICITY NAME COEFFICIENT ERROR 235 DF P-VALUE CORR. COEFFICIENT AT MEANS LAGY 0.68450 0.4680E-01 14.63 0.000 0.690 0.6797 0.6821 X1 -643.07 230.5 -2.790 0.006-0.179 -0.1531 -1.6370 X2 987.37 538.5 1.834 0.068 0.119 0.0724 -0.0006 X3 29775. 0.5068E+05 0.5875 0.557 0.038 0.0243 -0.0027 X4 11330. 4061. 2.790 0.006 0.179 0.1393 0.5446 D1 698.44 965.8 0.7232 0.470 0.047 0.0354 0.0068 D2 -260.02 1017. -0.2557 0.798-0.017 -0.0133 -0.0026 D3 -1557.6 1080. -1.442 0.151-0.094 -0.0784 -0.0149 CONSTANT 36507. 0.1327E+05 2.750 0.006 0.177 0.0000 1.4243

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    Project # 15


    This is exactly the output you need to match for the STAT and OLS portion of this project's output. If this portion of the output matches exactly, then the rest of your output will be fine.
    |_ stat x1 x2 x3 x4 lagy/pcor NAME N MEAN ST. DEV VARIANCE MINIMUM MAXIMUM X1 244 65.249 2.0410 4.1659 60.000 69.700 X2 244 -0.16356E-01 0.62811 0.39453 -3.1061 3.4487 X3 244 -0.22969E-02 0.69818E-02 0.48745E-04 -0.34000E-01 0.16179E-01 X4 244 1.2321 0.10537 0.11102E-01 0.97216 1.4129 LAGY 244 0.39687E+06 0.10380E+06 0.10775E+11 0.21799E+06 0.79803E+06 CORRELATION MATRIX OF VARIABLES - 244 OBSERVATIONS X1 1.0000 X2 -0.33485E-01 1.0000 X3 0.25631E-01 0.88656E-01 1.0000 X4 0.34559 0.26381E-01 0.23335 1.0000 LAGY 0.15461 0.81984E-01 -0.10219 0.11195 1.0000 X1 X2 X3 X4 LAGY |_* (2)Multiregression estimation 1 |_ ols y lagy x1 x2 x3 x4 d1 d2 d3/noanova rstat resid=err predict=yhat dlag REQUIRED MEMORY IS PAR= 63 CURRENT PAR= 234 OLS ESTIMATION 244 OBSERVATIONS DEPENDENT VARIABLE = Y ...NOTE..SAMPLE RANGE SET TO: 3, 246 R-SQUARE = 0.8041 R-SQUARE ADJUSTED = 0.7975 VARIANCE OF THE ESTIMATE-SIGMA**2 = 0.21831E+10 STANDARD ERROR OF THE ESTIMATE-SIGMA = 46724. SUM OF SQUARED ERRORS-SSE= 0.51303E+12 MEAN OF DEPENDENT VARIABLE = 0.39701E+06 LOG OF THE LIKELIHOOD FUNCTION = -2965.13 VARIABLE ESTIMATED STANDARD T-RATIO PARTIAL STANDARDIZED ELASTICITY NAME COEFFICIENT ERROR 235 DF P-VALUE CORR. COEFFICIENT AT MEANS LAGY 0.88829 0.2972E-01 29.89 0.000 0.890 0.8881 0.8880 X1 4855.3 1906. 2.548 0.011 0.164 0.0955 0.7980 X2 4767.0 4821. 0.9888 0.324 0.064 0.0288 -0.0002 X3 0.61899E+06 0.4540E+06 1.363 0.174 0.089 0.0416 -0.0036 X4 -10464. 0.3282E+05 -0.3189 0.750-0.021 -0.0106 -0.0325 D1 9872.8 8638. 1.143 0.254 0.074 0.0413 0.0062 D2 -4251.7 8616. -0.4934 0.622-0.032 -0.0180 -0.0028 D3 -27745. 9500. -2.921 0.004-0.187 -0.1153 -0.0172 CONSTANT -0.25249E+06 0.1114E+06 -2.267 0.024-0.146 0.0000 -0.6360

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    Project # 16


    This is exactly the output you need to match for the STAT and OLS portion of this project's output. If this portion of the output matches exactly, then the rest of your output will be fine.
    |_ stat x1 x2 x3 x4 lagy/pcor NAME N MEAN ST. DEV VARIANCE MINIMUM MAXIMUM X1 244 65.249 2.0410 4.1659 60.000 69.700 X2 244 -0.16356E-01 0.62811 0.39453 -3.1061 3.4487 X3 244 -0.22969E-02 0.69818E-02 0.48745E-04 -0.34000E-01 0.16179E-01 X4 244 1.2321 0.10537 0.11102E-01 0.97216 1.4129 LAGY 244 0.40383E+07 0.14518E+07 0.21077E+13 0.16896E+07 0.81751E+07 CORRELATION MATRIX OF VARIABLES - 244 OBSERVATIONS X1 1.0000 X2 -0.33485E-01 1.0000 X3 0.25631E-01 0.88656E-01 1.0000 X4 0.34559 0.26381E-01 0.23335 1.0000 LAGY 0.27733 -0.54310E-02 0.19865 0.68542 1.0000 X1 X2 X3 X4 LAGY |_* (2)Multiregression estimation 1 |_ ols y lagy x1 x2 x3 x4 d1 d2 d3/noanova rstat resid=err predict=yhat dlag REQUIRED MEMORY IS PAR= 63 CURRENT PAR= 234 OLS ESTIMATION 244 OBSERVATIONS DEPENDENT VARIABLE = Y ...NOTE..SAMPLE RANGE SET TO: 3, 246 R-SQUARE = 0.8646 R-SQUARE ADJUSTED = 0.8600 VARIANCE OF THE ESTIMATE-SIGMA**2 = 0.30332E+12 STANDARD ERROR OF THE ESTIMATE-SIGMA = 0.55074E+06 SUM OF SQUARED ERRORS-SSE= 0.71279E+14 MEAN OF DEPENDENT VARIABLE = 0.40630E+07 LOG OF THE LIKELIHOOD FUNCTION = -3567.08 VARIABLE ESTIMATED STANDARD T-RATIO PARTIAL STANDARDIZED ELASTICITY NAME COEFFICIENT ERROR 235 DF P-VALUE CORR. COEFFICIENT AT MEANS LAGY 0.84029 0.3494E-01 24.05 0.000 0.843 0.8289 0.8352 X1 -21138. 0.2258E+05 -0.9362 0.350-0.061 -0.0293 -0.3395 X2 24252. 0.5657E+05 0.4287 0.669 0.028 0.0104 -0.0001 X3 0.19224E+08 0.5314E+07 3.618 0.000 0.230 0.0912 -0.0109 X4 0.14935E+07 0.4901E+06 3.047 0.003 0.195 0.1069 0.4529 D1 0.16673E+06 0.1025E+06 1.627 0.105 0.106 0.0492 0.0103 D2 0.12399E+06 0.1015E+06 1.222 0.223 0.079 0.0369 0.0079 D3 -0.10114E+06 0.1146E+06 -0.8825 0.378-0.057 -0.0297 -0.0061 CONSTANT 0.20436E+06 0.1373E+07 0.1488 0.882 0.010 0.0000 0.0503

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    Project # 17


    This is exactly the output you need to match for the STAT and OLS portion of this project's output. If this portion of the output matches exactly, then the rest of your output will be fine.
    |_ stat x1 x2 x3 x4 lagy/pcor NAME N MEAN ST. DEV VARIANCE MINIMUM MAXIMUM X1 244 65.249 2.0410 4.1659 60.000 69.700 X2 244 -0.16356E-01 0.62811 0.39453 -3.1061 3.4487 X3 244 -0.22969E-02 0.69818E-02 0.48745E-04 -0.34000E-01 0.16179E-01 X4 244 1.2321 0.10537 0.11102E-01 0.97216 1.4129 LAGY 244 0.23688E+07 0.81555E+06 0.66512E+12 0.82023E+06 0.45187E+07 CORRELATION MATRIX OF VARIABLES - 244 OBSERVATIONS X1 1.0000 X2 -0.33485E-01 1.0000 X3 0.25631E-01 0.88656E-01 1.0000 X4 0.34559 0.26381E-01 0.23335 1.0000 LAGY 0.25545 0.18826E-01 0.21776 0.69553 1.0000 X1 X2 X3 X4 LAGY |_* (2)Multiregression estimation 1 |_ ols y lagy x1 x2 x3 x4 d1 d2 d3/noanova rstat resid=err predict=yhat dlag REQUIRED MEMORY IS PAR= 63 CURRENT PAR= 234 OLS ESTIMATION 244 OBSERVATIONS DEPENDENT VARIABLE = Y ...NOTE..SAMPLE RANGE SET TO: 3, 246 R-SQUARE = 0.7704 R-SQUARE ADJUSTED = 0.7626 VARIANCE OF THE ESTIMATE-SIGMA**2 = 0.16124E+12 STANDARD ERROR OF THE ESTIMATE-SIGMA = 0.40155E+06 SUM OF SQUARED ERRORS-SSE= 0.37891E+14 MEAN OF DEPENDENT VARIABLE = 0.23811E+07 LOG OF THE LIKELIHOOD FUNCTION = -3489.99 VARIABLE ESTIMATED STANDARD T-RATIO PARTIAL STANDARDIZED ELASTICITY NAME COEFFICIENT ERROR 235 DF P-VALUE CORR. COEFFICIENT AT MEANS LAGY 0.64267 0.4729E-01 13.59 0.000 0.663 0.6360 0.6394 X1 -17762. 0.1645E+05 -1.080 0.281-0.070 -0.0440 -0.4867 X2 10521. 0.4123E+05 0.2552 0.799 0.017 0.0080 -0.0001 X3 0.16139E+08 0.3884E+07 4.156 0.000 0.262 0.1367 -0.0156 X4 0.18589E+07 0.3654E+06 5.087 0.000 0.315 0.2377 0.9619 D1 87777. 0.7524E+05 1.167 0.245 0.076 0.0462 0.0092 D2 0.13982E+06 0.7400E+05 1.889 0.060 0.122 0.0744 0.0152 D3 -0.13248E+06 0.8510E+05 -1.557 0.121-0.101 -0.0694 -0.0137 CONSTANT -0.26080E+06 0.9996E+06 -0.2609 0.794-0.017 0.0000 -0.1095

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    Project # 18


    This is exactly the output you need to match for the STAT and OLS portion of this project's output. If this portion of the output matches exactly, then the rest of your output will be fine.
    |_ stat x1 x2 x3 x4 lagy/pcor NAME N MEAN ST. DEV VARIANCE MINIMUM MAXIMUM X1 244 65.249 2.0410 4.1659 60.000 69.700 X2 244 -0.16356E-01 0.62811 0.39453 -3.1061 3.4487 X3 244 -0.22969E-02 0.69818E-02 0.48745E-04 -0.34000E-01 0.16179E-01 X4 244 1.2321 0.10537 0.11102E-01 0.97216 1.4129 LAGY 244 0.14362E+06 40998. 0.16808E+10 36579. 0.24161E+06 CORRELATION MATRIX OF VARIABLES - 244 OBSERVATIONS X1 1.0000 X2 -0.33485E-01 1.0000 X3 0.25631E-01 0.88656E-01 1.0000 X4 0.34559 0.26381E-01 0.23335 1.0000 LAGY 0.58958 -0.46252E-01 0.38043E-01 0.54742 1.0000 X1 X2 X3 X4 LAGY |_* (2)Multiregression estimation 1 |_ ols y lagy x1 x2 x3 x4 d1 d2 d3/noanova rstat resid=err predict=yhat dlag REQUIRED MEMORY IS PAR= 63 CURRENT PAR= 234 OLS ESTIMATION 244 OBSERVATIONS DEPENDENT VARIABLE = Y ...NOTE..SAMPLE RANGE SET TO: 3, 246 R-SQUARE = 0.7371 R-SQUARE ADJUSTED = 0.7282 VARIANCE OF THE ESTIMATE-SIGMA**2 = 0.45421E+09 STANDARD ERROR OF THE ESTIMATE-SIGMA = 21312. SUM OF SQUARED ERRORS-SSE= 0.10674E+12 MEAN OF DEPENDENT VARIABLE = 0.14424E+06 LOG OF THE LIKELIHOOD FUNCTION = -2773.59 VARIABLE ESTIMATED STANDARD T-RATIO PARTIAL STANDARDIZED ELASTICITY NAME COEFFICIENT ERROR 235 DF P-VALUE CORR. COEFFICIENT AT MEANS LAGY 0.65885 0.5280E-01 12.48 0.000 0.631 0.6608 0.6560 X1 3490.7 1117. 3.124 0.002 0.200 0.1743 1.5790 X2 -51.072 2192. -0.2330E-01 0.981-0.002 -0.0008 0.0000 X3 0.26538E+06 0.2052E+06 1.293 0.197 0.084 0.0453 -0.0042 X4 46170. 0.1620E+05 2.850 0.005 0.183 0.1190 0.3944 D1 6021.9 3940. 1.528 0.128 0.099 0.0639 0.0104 D2 -1877.0 3948. -0.4754 0.635-0.031 -0.0201 -0.0034 D3 -13479. 4810. -2.802 0.005-0.180 -0.1423 -0.0230 CONSTANT -0.23213E+06 0.6830E+05 -3.399 0.001-0.216 0.0000 -1.6093

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    Project # 19


    This is exactly the output you need to match for the STAT and OLS portion of this project's output. If this portion of the output matches exactly, then the rest of your output will be fine.
    |_ stat x1 x2 x3 x4 lagy/pcor NAME N MEAN ST. DEV VARIANCE MINIMUM MAXIMUM X1 244 65.249 2.0410 4.1659 60.000 69.700 X2 244 -0.16356E-01 0.62811 0.39453 -3.1061 3.4487 X3 244 -0.22969E-02 0.69818E-02 0.48745E-04 -0.34000E-01 0.16179E-01 X4 244 1.2321 0.10537 0.11102E-01 0.97216 1.4129 LAGY 244 0.22575E+06 0.12190E+06 0.14859E+11 50959. 0.56714E+06 CORRELATION MATRIX OF VARIABLES - 244 OBSERVATIONS X1 1.0000 X2 -0.33485E-01 1.0000 X3 0.25631E-01 0.88656E-01 1.0000 X4 0.34559 0.26381E-01 0.23335 1.0000 LAGY 0.33501 -0.80192E-01 0.19187 0.58835 1.0000 X1 X2 X3 X4 LAGY |_* (2)Multiregression estimation 1 |_ ols y lagy x1 x2 x3 x4 d1 d2 d3/noanova rstat resid=err predict=yhat dlag REQUIRED MEMORY IS PAR= 63 CURRENT PAR= 234 OLS ESTIMATION 244 OBSERVATIONS DEPENDENT VARIABLE = Y ...NOTE..SAMPLE RANGE SET TO: 3, 246 R-SQUARE = 0.9010 R-SQUARE ADJUSTED = 0.8976 VARIANCE OF THE ESTIMATE-SIGMA**2 = 0.15480E+10 STANDARD ERROR OF THE ESTIMATE-SIGMA = 39345. SUM OF SQUARED ERRORS-SSE= 0.36378E+12 MEAN OF DEPENDENT VARIABLE = 0.22755E+06 LOG OF THE LIKELIHOOD FUNCTION = -2923.18 VARIABLE ESTIMATED STANDARD T-RATIO PARTIAL STANDARDIZED ELASTICITY NAME COEFFICIENT ERROR 235 DF P-VALUE CORR. COEFFICIENT AT MEANS LAGY 0.91709 0.2678E-01 34.25 0.000 0.913 0.9091 0.9098 X1 1650.1 1646. 1.002 0.317 0.065 0.0274 0.4731 X2 1063.7 4070. 0.2613 0.794 0.017 0.0054 -0.0001 X3 0.86990E+06 0.3810E+06 2.283 0.023 0.147 0.0494 -0.0088 X4 35735. 0.3125E+05 1.143 0.254 0.074 0.0306 0.1935 D1 2519.5 7274. 0.3464 0.729 0.023 0.0089 0.0028 D2 -11563. 7251. -1.595 0.112-0.103 -0.0412 -0.0131 D3 -13932. 8104. -1.719 0.087-0.111 -0.0489 -0.0151 CONSTANT -0.12338E+06 0.1008E+06 -1.224 0.222-0.080 0.0000 -0.5422

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    Project # 20


    This is exactly the output you need to match for the STAT and OLS portion of this project's output. If this portion of the output matches exactly, then the rest of your output will be fine.
    |_ stat x1 x2 x3 x4 lagy/pcor NAME N MEAN ST. DEV VARIANCE MINIMUM MAXIMUM X1 244 65.249 2.0410 4.1659 60.000 69.700 X2 244 -0.16356E-01 0.62811 0.39453 -3.1061 3.4487 X3 244 -0.22969E-02 0.69818E-02 0.48745E-04 -0.34000E-01 0.16179E-01 X4 244 1.2321 0.10537 0.11102E-01 0.97216 1.4129 LAGY 244 18816. 11580. 0.13409E+09 4211.2 68656. CORRELATION MATRIX OF VARIABLES - 244 OBSERVATIONS X1 1.0000 X2 -0.33485E-01 1.0000 X3 0.25631E-01 0.88656E-01 1.0000 X4 0.34559 0.26381E-01 0.23335 1.0000 LAGY 0.17652 -0.10530E-01 0.18412 0.54171 1.0000 X1 X2 X3 X4 LAGY |_* (2)Multiregression estimation 1 |_ ols y lagy x1 x2 x3 x4 d1 d2 d3/noanova rstat resid=err predict=yhat dlag REQUIRED MEMORY IS PAR= 63 CURRENT PAR= 234 OLS ESTIMATION 244 OBSERVATIONS DEPENDENT VARIABLE = Y ...NOTE..SAMPLE RANGE SET TO: 3, 246 R-SQUARE = 0.9223 R-SQUARE ADJUSTED = 0.9197 VARIANCE OF THE ESTIMATE-SIGMA**2 = 0.11138E+08 STANDARD ERROR OF THE ESTIMATE-SIGMA = 3337.3 SUM OF SQUARED ERRORS-SSE= 0.26173E+10 MEAN OF DEPENDENT VARIABLE = 19022. LOG OF THE LIKELIHOOD FUNCTION = -2321.19 VARIABLE ESTIMATED STANDARD T-RATIO PARTIAL STANDARDIZED ELASTICITY NAME COEFFICIENT ERROR 235 DF P-VALUE CORR. COEFFICIENT AT MEANS LAGY 0.97758 0.2301E-01 42.49 0.000 0.941 0.9614 0.9670 X1 20.375 136.4 0.1494 0.881 0.010 0.0035 0.0699 X2 48.934 342.8 0.1427 0.887 0.009 0.0026 0.0000 X3 23021. 0.3213E+05 0.7165 0.474 0.047 0.0137 -0.0028 X4 1561.3 2748. 0.5681 0.571 0.037 0.0140 0.1011 D1 3021.3 641.6 4.709 0.000 0.294 0.1113 0.0397 D2 2976.7 617.1 4.824 0.000 0.300 0.1109 0.0404 D3 2643.7 678.3 3.897 0.000 0.246 0.0969 0.0342 CONSTANT -4745.3 7968. -0.5956 0.552-0.039 0.0000 -0.2495