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Trailing-Edge - PDP-10 Archives - decuslib10-08 - 43,50504/daniel.pri
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"MODEL" 100 * (LOG (DEATHS) - 2) = CONSTANT + TELEPHONES * TEL + F CAL * FAT CAL + AP CAL * ANIMAL PROTEIN CAL;






"INPUT" 21 * [ OBSNO,  TELEPHONES, FAT CAL, ANIMAL PROTEIN CAL, DEATHS ];






"OPTIONS" TRANSFORMED DATA MATRIX,
	  CORRELATION MATRIX,
	  RESIDUAL ANALYSIS,
	  NO INPUT DATA REWIND;

Transformed data matrix
=======================

obs.no.      CONSTANT    TEL         F CAL       AP CAL      dep.var.

     1          1.000     124.000      33.000       8.000      81.023
     2          1.000      49.000      31.000       6.000      55.023
     3          1.000     181.000      38.000       8.000      80.003
     4          1.000       4.000      17.000       2.000      24.055
     5          1.000      22.000      20.000       4.000      78.032
     6          1.000     152.000      39.000       6.000      51.983
     7          1.000      75.000      30.000       7.000      88.024
     8          1.000      54.000      29.000       7.000      45.025
     9          1.000      43.000      35.000       6.000      49.969
    10          1.000      41.000      31.000       5.000      69.020

    11          1.000      17.000      23.000       4.000      65.992
    12          1.000      22.000      21.000       3.000      45.025
    13          1.000      16.000       8.000       3.000      24.055
    14          1.000      10.000      23.000       3.000      42.975
    15          1.000      63.000      37.000       6.000      38.021
    16          1.000     170.000      40.000       8.000      72.016
    17          1.000     125.000      38.000       6.000      40.993
    18          1.000      15.000      25.000       4.000      38.021
    19          1.000     221.000      39.000       7.000      51.983
    20          1.000     171.000      33.000       7.000      51.983

    21          1.000      97.000      38.000       6.000      65.992
Control information
===================

transformed variable
denoted by parameter          mean           standard deviation                minimum                  maximum

 CONSTANT                   1.000000                 0.000000                 1.000000                 1.000000
 TEL                       79.619048                67.241710                 4.000000               221.000000
 F CAL                     29.904762                 8.677008                 8.000000                40.000000
 AP CAL                     5.523810                 1.833550                 2.000000                 8.000000
 dep.var.                  55.200537                18.350018                24.054925                88.024178

Number of observations :   21





Correlation matrix of the variables
===================================

             CONSTANT    TEL         F CAL       AP CAL      dep.var.

 CONSTANT    1.000000
 TEL             *       1.000000
 F CAL           *       0.765373    1.000000
 AP CAL          *       0.794133    0.820403    1.000000
 dep.var.        *       0.352227    0.400646    0.578991    1.000000





Multiple correlation coefficient     0.610225    (adjusted   0.511486)
================================





Proportion of variation explained    0.372375    (adjusted   0.261617)
=================================





Standard deviation of the error term             15.768022
====================================
Regression parameters
=====================
                                                                                                    right  tail
parameter                 estimate           standard deviation              F - ratio              probability

 CONSTANT              20.2254131503            15.8475377537                 1.628813                 0.219028

 TEL                   -0.0676015740             0.0913200444                 0.548001                 0.469237

 F CAL                 -0.2985412292             0.7521792489                 0.157531                 0.696378

 AP CAL                 8.9223390010             3.7695192402                 5.602547                 0.030066






Correlation matrix of the estimates
===================================

             CONSTANT    TEL         F CAL       AP CAL

 CONSTANT    1.000000
 TEL         0.599763    1.000000
 F CAL      -0.554905   -0.327665    1.000000
 AP CAL     -0.335187   -0.451691   -0.543531    1.000000





Analysis of variance
====================

source of                                                                                           right  tail
variation          df          sum of squares           mean square             F - ratio           probability

---------------------------------------------------------------------------------------------------------------

total              21            70723.548495

---------------------------------------------------------------------------------------------------------------

mean                1            63989.084941          63989.084941            257.366170              0.000000
regression          3             2507.744689            835.914896              3.362077              0.043260
residual           17             4226.718865            248.630521

---------------------------------------------------------------------------------------------------------------


regression null hypothesis :  TEL = F CAL = AP CAL = 0
Residual analysis
=================
                                                                                              standardized         studentized
obs.no.        observation        fitted value    standard deviation          residual            residual            residual

     1           81.023252           73.369669            7.538479            7.653582            0.539477            0.552635
     2           55.022835           61.192192            5.291015           -6.169357           -0.434858           -0.415338
     3           80.002936           68.023674            6.705223           11.979262            0.844380            0.839394
     4           24.054925           32.724484            7.952029           -8.669559           -0.611090           -0.636718
     5           78.031731           48.456710            5.339626           29.575021            2.084649            1.993409
     6           51.982799           51.840900            7.200893            0.141899            0.010002            0.010116
     7           88.024178           68.655431            6.685317           19.368746            1.365241            1.356293
     8           45.024911           70.373606            7.973323          -25.348695           -1.786749           -1.863388
     9           49.968708           60.403636            6.875734          -10.434928           -0.735525           -0.735374
    10           69.019608           52.810666            5.122108           16.208942            1.142517            1.086908

    11           65.991620           47.899094            4.789749           18.092526            1.275285            1.204326
    12           45.024911           39.235830            6.108147            5.789081            0.408054            0.398234
    13           24.054925           43.522475           11.158540          -19.467550           -1.372206           -1.747410
    14           42.975228           39.449966            6.304806            3.525262            0.248485            0.243918
    15           38.021124           58.454523            6.572849          -20.433398           -1.440285           -1.425642
    16           72.015930           68.170208            6.085242            3.845722            0.271073            0.264375
    17           40.993312           53.964684            5.845876          -12.971371           -0.914311           -0.885761
    18           38.021124           47.437215            5.034123           -9.416091           -0.663710           -0.630141
    19           51.982799           56.098730            9.598451           -4.115931           -0.290119           -0.329011
    20           51.982799           61.270056            7.006951           -9.287257           -0.654629           -0.657476

    21           65.991620           55.857528            5.819685           10.134092            0.714320            0.691523

                                                       sum of residuals :    -0.000000

                  Upper bound for the right tail probability of the largest absolute studentized residual (no. 5) :   0.883762





End of job :  1





"MODEL" 100 * (LOG (DEATHS) - 2) = CONSTANT + TELEPHONES * TEL + F CAL * FAT CAL + AP CAL * ANIMAL PROTEIN CAL;






"INPUT" 22 * [ OBSNO,  TELEPHONES, FAT CAL, ANIMAL PROTEIN CAL, DEATHS ];






"OPTIONS" TRANSFORMED DATA MATRIX,
	  CORRELATION MATRIX,
	  RESIDUAL ANALYSIS,
	  NO INPUT DATA REWIND;

Transformed data matrix
=======================

obs.no.      CONSTANT    TEL         F CAL       AP CAL      dep.var.

     1          1.000     124.000      33.000       8.000      81.023
     2          1.000      49.000      31.000       6.000      55.023
     3          1.000     181.000      38.000       8.000      80.003
     4          1.000       4.000      17.000       2.000      24.055
     5          1.000      22.000      20.000       4.000      78.032
     6          1.000     152.000      39.000       6.000      51.983
     7          1.000      75.000      30.000       7.000      88.024
     8          1.000      54.000      29.000       7.000      45.025
     9          1.000      43.000      35.000       6.000      49.969
    10          1.000      41.000      31.000       5.000      69.020

    11          1.000      17.000      23.000       4.000      65.992
    12          1.000      22.000      21.000       3.000      45.025
    13          1.000      16.000       8.000       3.000      24.055
    14          1.000      10.000      23.000       3.000      42.975
    15          1.000      63.000      37.000       6.000      38.021
    16          1.000     170.000      40.000       8.000      72.016
    17          1.000     125.000      38.000       6.000      40.993
    18          1.000      15.000      25.000       4.000      38.021
    19          1.000     221.000      39.000       7.000      51.983
    20          1.000     171.000      33.000       7.000      51.983

    21          1.000      97.000      38.000       6.000      65.992
    22          1.000     254.000      39.000       8.000      88.986
Control information
===================

transformed variable
denoted by parameter          mean           standard deviation                minimum                  maximum

 CONSTANT                   1.000000                 0.000000                 1.000000                 1.000000
 TEL                       87.545455                75.421184                 4.000000               254.000000
 F CAL                     30.318182                 8.687081                 8.000000                40.000000
 AP CAL                     5.636364                 1.865615                 2.000000                 8.000000
 dep.var.                  56.736248                19.302168                24.054925                88.986172

Number of observations :   22





Correlation matrix of the variables
===================================

             CONSTANT    TEL         F CAL       AP CAL      dep.var.

 CONSTANT    1.000000
 TEL             *       1.000000
 F CAL           *       0.759153    1.000000
 AP CAL          *       0.802196    0.830182    1.000000
 dep.var.        *       0.468275    0.445625    0.620810    1.000000





Multiple correlation coefficient     0.633482    (adjusted   0.549105)
================================





Proportion of variation explained    0.401299    (adjusted   0.301516)
=================================





Standard deviation of the error term             16.131858
====================================
Regression parameters
=====================
                                                                                                    right  tail
parameter                 estimate           standard deviation              F - ratio              probability

 CONSTANT              23.9806255432            15.9639459467                 2.256527                 0.150393

 TEL                   -0.0068705367             0.0814301787                 0.007119                 0.933691

 F CAL                 -0.4808401312             0.7571543310                 0.403304                 0.533378

 AP CAL                 8.5046508708             3.8436114905                 4.895917                 0.040082






Correlation matrix of the estimates
===================================

             CONSTANT    TEL         F CAL       AP CAL

 CONSTANT    1.000000
 TEL         0.599087    1.000000
 F CAL      -0.540572   -0.279955    1.000000
 AP CAL     -0.327023   -0.473879   -0.569153    1.000000





Analysis of variance
====================

source of                                                                                           right  tail
variation          df          sum of squares           mean square             F - ratio           probability

---------------------------------------------------------------------------------------------------------------

total              22            78642.087325

---------------------------------------------------------------------------------------------------------------

mean                1            70818.039589          70818.039589            272.129182              0.000000
regression          3             3139.784535           1046.594845              4.021701              0.023613
residual           18             4684.263201            260.236845

---------------------------------------------------------------------------------------------------------------


regression null hypothesis :  TEL = F CAL = AP CAL = 0
Residual analysis
=================
                                                                                              standardized         studentized
obs.no.        observation        fitted value    standard deviation          residual            residual            residual

     1           81.023252           75.298162            7.574047            5.725090            0.392349            0.401951
     2           55.022835           59.765830            5.305139           -4.742995           -0.325045           -0.311331
     3           80.002936           72.502340            5.970777            7.500596            0.514028            0.500500
     4           24.054925           32.788163            8.135375           -8.733238           -0.598503           -0.626925
     5           78.031731           48.231275            5.460188           29.800457            2.042272            1.963179
     6           51.982799           55.211444            6.914612           -3.228645           -0.221264           -0.221522
     7           88.024178           68.572687            6.839291           19.451490            1.333041            1.331354
     8           45.024911           69.197809            8.108961          -24.172898           -1.656607           -1.733363
     9           49.968708           57.883693            6.772802           -7.914985           -0.542426           -0.540595
    10           69.019608           51.316144            5.117648           17.703464            1.213246            1.157197

    11           65.991620           46.823107            4.832613           19.168513            1.313648            1.245437
    12           45.024911           39.245784            6.249083            5.779127            0.396053            0.388583
    13           24.054925           45.537929           11.314373          -21.483004           -1.472264           -1.868286
    14           42.975228           38.366550            6.398324            4.608678            0.315840            0.311214
    15           38.021124           56.784602            6.605527          -18.763478           -1.285891           -1.274912
    16           72.015930           71.616236            5.657260            0.399694            0.027392            0.026457
    17           40.993312           55.877789            5.804126          -14.884476           -1.020057           -0.988900
    18           38.021124           45.875168            5.013742           -7.854044           -0.538250           -0.512233
    19           51.982799           63.242028            8.210275          -11.259229           -0.771613           -0.810818
    20           51.982799           66.470596            6.000549          -14.487796           -0.992871           -0.967509

    21           65.991620           56.070164            5.951810            9.921456            0.679933            0.661706
    22           88.986172           71.519951            9.312532           17.466221            1.196988            1.325965

                                                       sum of residuals :    -0.000000

                  Upper bound for the right tail probability of the largest absolute studentized residual (no. 5) :   1.000000





End of job :  2





"MODEL"  Y & W  =  A  +  B * X;






"INPUT" 4 * [O, X, Y, W];






"OPTIONS" TRANSFORMED DATA MATRIX,
	  CORRELATION MATRIX,
	  RESIDUAL ANALYSIS,
	  NO INPUT DATA REWIND;

Transformed data matrix
=======================

obs.no.      A           B           dep.var.      weight

     1          1.000      10.000      33.800       1.000
     2          1.000      20.000      62.200       4.000
     3          1.000      30.000      92.000       1.000
     4          1.000      40.000     122.400       1.000
Control information
===================

transformed variable
denoted by parameter          mean           standard deviation                minimum                  maximum

 A                          1.000000                 0.000000                 1.000000                 1.000000
 B                         22.857143                 9.511897                10.000000                40.000000
 dep.var.                  71.000000                28.215126                33.800000               122.400000

Number of observations :    4





Correlation matrix of the variables
===================================

             A           B           dep.var.

 A           1.000000
 B               *       1.000000
 dep.var.        *       0.999828    1.000000





Multiple correlation coefficient     0.999828    (adjusted   0.999743)
================================





Proportion of variation explained    0.999657    (adjusted   0.999485)
=================================





Standard deviation of the error term              0.905248
====================================
Regression parameters
=====================
                                                                                                    right  tail
parameter                 estimate           standard deviation              F - ratio              probability

 A                      3.2105263158             0.9517006210                11.380249                 0.077760

 B                      2.9657894737             0.0388530152              5826.814387                 0.000172






Correlation matrix of the estimates
===================================

             A           B

 A           1.000000
 B          -0.933139    1.000000





Analysis of variance
====================

source of                                                                                           right  tail
variation          df          sum of squares           mean square             F - ratio           probability

---------------------------------------------------------------------------------------------------------------

total               4            40063.560000

---------------------------------------------------------------------------------------------------------------

mean                1            35287.000000          35287.000000          43060.565189              0.000000
regression          1             4774.921053           4774.921053           5826.814387              0.000172
residual            2                1.638947              0.819474

---------------------------------------------------------------------------------------------------------------


regression null hypothesis :  B = 0
Residual analysis
=================
                                                                                              standardized         studentized
obs.no.        observation        fitted value    standard deviation          residual            residual            residual

     1           33.800000           32.868421            0.605481            0.931579            1.455349            1.384313
     2           62.200000           62.526316            0.359709           -0.326316           -0.509783           -0.392814
     3           92.000000           92.184211            0.440552           -0.184211           -0.287781           -0.232938
     4          122.400000          121.842105            0.748794            0.557895            0.871565            1.096695

                                                       sum of residuals :     0.000000

                  Upper bound for the right tail probability of the largest absolute studentized residual (no. 1) :   0.524572





End of job :  3





"MODEL" TOTAL = PRICE * X1 + GNP * X2 + UNEMPY * X3 + ARMY * X4
		+ NONIST * X5 + TIME * X6 + CONSTANT;






"INPUT" 16 * [X1, X2, X3, X4, X5, X6, TOTAL];






"OPTIONS" TRANSFORMED DATA MATRIX,
	  CORRELATION MATRIX,
	  RESIDUAL ANALYSIS,
	  PROCESS SUBMODELS (1),
	  NO INPUT DATA REWIND;

Transformed data matrix
=======================

obs.no.      PRICE       GNP         UNEMPY      ARMY        NONIST      TIME        CONSTANT    dep.var.

     1         83.000  234289.000    2356.000    1590.000  107608.000    1947.000       1.000   60323.000
     2         88.500  259426.000    2325.000    1456.000  108632.000    1948.000       1.000   61122.000
     3         88.200  258054.000    3682.000    1616.000  109773.000    1949.000       1.000   60171.000
     4         89.500  284599.000    3351.000    1650.000  110929.000    1950.000       1.000   61187.000
     5         96.200  328975.000    2099.000    3099.000  112075.000    1951.000       1.000   63221.000
     6         98.100  346999.000    1932.000    3594.000  113270.000    1952.000       1.000   63639.000
     7         99.000  365385.000    1870.000    3547.000  115094.000    1953.000       1.000   64989.000
     8        100.000  363112.000    3578.000    3350.000  116219.000    1954.000       1.000   63761.000
     9        101.200  397469.000    2904.000    3048.000  117388.000    1955.000       1.000   66019.000
    10        104.600  419180.000    2822.000    2857.000  118734.000    1956.000       1.000   67857.000

    11        108.400  442769.000    2936.000    2798.000  120445.000    1957.000       1.000   68169.000
    12        110.800  444546.000    4681.000    2637.000  121950.000    1958.000       1.000   66513.000
    13        112.600  482704.000    3813.000    2552.000  123366.000    1959.000       1.000   68655.000
    14        114.200  502601.000    3931.000    2514.000  125368.000    1960.000       1.000   69564.000
    15        115.700  518173.000    4806.000    2572.000  127852.000    1961.000       1.000   69331.000
    16        116.900  554894.000    4007.000    2827.000  130081.000    1962.000       1.000   70551.000
Control information
===================

transformed variable
denoted by parameter          mean           standard deviation                minimum                  maximum

 PRICE                    101.681250                10.791553                83.000000               116.900000
 GNP                   387698.437500             99394.937795            234289.000000            554894.000000
 UNEMPY                  3193.312500               934.464247              1870.000000              4806.000000
 ARMY                    2606.687500               695.919604              1456.000000              3594.000000
 NONIST                117424.000000              6956.101561            107608.000000            130081.000000
 TIME                    1954.500000                 4.760952              1947.000000              1962.000000
 CONSTANT                   1.000000                 0.000000                 1.000000                 1.000000
 dep.var.               65317.000000              3511.968356             60171.000000             70551.000000

Number of observations :   16





Correlation matrix of the variables
===================================

             PRICE       GNP         UNEMPY      ARMY        NONIST      TIME        CONSTANT    dep.var.

 PRICE       1.000000
 GNP         0.991589    1.000000
 UNEMPY      0.620633    0.604261    1.000000
 ARMY        0.464744    0.446437   -0.177421    1.000000
 NONIST      0.979163    0.991090    0.686552    0.364416    1.000000
 TIME        0.991149    0.995273    0.668257    0.417245    0.993953    1.000000
 CONSTANT        *           *           *           *           *           *       1.000000
 dep.var.    0.970899    0.983552    0.502498    0.457307    0.960391    0.971329        *       1.000000





Multiple correlation coefficient     0.997737    (adjusted   0.996225)
================================





Proportion of variation explained    0.995479    (adjusted   0.992465)
=================================





Standard deviation of the error term            304.854074
====================================
Regression parameters
=====================
                                                                                                    right  tail
parameter                 estimate           standard deviation              F - ratio              probability

 PRICE                 15.0618722714            84.9149257748                 0.031462                 0.863141

 GNP                   -0.0358191793             0.0334910078                 1.143865                 0.312681

 UNEMPY                -2.0202298038             0.4883996817                17.110031                 0.002535

 ARMY                  -1.0332268672             0.2142741632                23.251542                 0.000944

 NONIST                -0.0511041057             0.2260732001                 0.051099                 0.826212

 TIME                1829.1514646136           455.4784991424                16.127371                 0.003037

 CONSTANT        -3482258.6345958212        890420.3836077944                15.294379                 0.003560






Correlation matrix of the estimates
===================================

             PRICE       GNP         UNEMPY      ARMY        NONIST      TIME        CONSTANT

 PRICE       1.000000
 GNP        -0.649419    1.000000
 UNEMPY     -0.555000    0.945607    1.000000
 ARMY       -0.348815    0.468605    0.618566    1.000000
 NONIST      0.659178   -0.833206   -0.758256   -0.188914    1.000000
 TIME        0.186285   -0.801681   -0.824101   -0.549367    0.388160    1.000000
 CONSTANT   -0.204933    0.816117    0.835987    0.549722   -0.410687   -0.999690    1.000000





Analysis of variance
====================

source of                                                                                           right  tail
variation          df          sum of squares           mean square             F - ratio           probability

---------------------------------------------------------------------------------------------------------------

total              16      68445976650.000000

---------------------------------------------------------------------------------------------------------------

mean                1      68260967824.000000    68260967824.000000         734494.311075              0.000000
regression          6        184172401.944493       30695400.324082            330.285339              0.000000
residual            9           836424.055507          92936.006167

---------------------------------------------------------------------------------------------------------------
regression null hypothesis :  PRICE = GNP = UNEMPY = ARMY = NONIST = TIME = 0
Residual analysis
=================
                                                                                              standardized         studentized
obs.no.        observation        fitted value    standard deviation          residual            residual            residual

     1        60323.000000        60055.659970          198.632240          267.340030            1.169259            1.156014
     2        61122.000000        61216.013942          229.143681          -94.013942           -0.411187           -0.467568
     3        60171.000000        60124.712832          183.438757           46.287168            0.202445            0.190101
     4        61187.000000        61597.114622          185.992913         -410.114622           -1.793709           -1.697900
     5        63221.000000        62911.285409          239.171785          309.714591            1.354592            1.638429
     6        63639.000000        63888.311215          185.328620         -249.311215           -1.090407           -1.029989
     7        64989.000000        65153.048956          213.731089         -164.048956           -0.717497           -0.754657
     8        63761.000000        63774.180357          216.565758          -13.180357           -0.057647           -0.061430
     9        66019.000000        66004.695227          206.113154           14.304773            0.062564            0.063685
    10        67857.000000        67401.605905          175.288498          455.394095            1.991747            1.825818

    11        68169.000000        68186.268927          182.882356          -17.268927           -0.075529           -0.070802
    12        66513.000000        66552.055043          211.895321          -39.055043           -0.170814           -0.178194
    13        68655.000000        68810.549974          186.512006         -155.549974           -0.680325           -0.645057
    14        69564.000000        69649.671308          145.686592          -85.671308           -0.374699           -0.319920
    15        69331.000000        68989.068486          186.153396          341.931514            1.495498            1.416343
    16        70551.000000        70757.757825          252.976463         -206.757825           -0.904292           -1.215404

                                                       sum of residuals :     0.000000

                 Upper bound for the right tail probability of the largest absolute studentized residual (no. 10) :   0.989947
Control information  -  submodel  1
===================

transformed variable
denoted by parameter          mean           standard deviation                minimum                  maximum

 CONSTANT    omitted

 PRICE                    101.681250                10.791553                83.000000               116.900000
 GNP                   387698.437500             99394.937795            234289.000000            554894.000000
 UNEMPY                  3193.312500               934.464247              1870.000000              4806.000000
 ARMY                    2606.687500               695.919604              1456.000000              3594.000000
 NONIST                117424.000000              6956.101561            107608.000000            130081.000000
 TIME                    1954.500000                 4.760952              1947.000000              1962.000000
 dep.var.               65317.000000              3511.968356             60171.000000             70551.000000

Number of observations :   16





There is no constant independent variable in the transformed (sub)model    (message)





Multiple correlation coefficient     0.999984    (adjusted   0.999974)
================================





Proportion of variation explained    0.999967    (adjusted   0.999947)
=================================





Standard deviation of the error term            475.165508
====================================
Regression parameters
=====================
                                                                                                    right  tail
parameter                 estimate           standard deviation              F - ratio              probability

 PRICE                -52.9935701387           129.5448669312                 0.167342                 0.691108

 GNP                    0.0710731991             0.0301664000                 5.550917                 0.040224

 UNEMPY                -0.4234658557             0.4177365406                 1.027618                 0.334618

 ARMY                  -0.5725686684             0.2789908747                 4.211872                 0.067251

 NONIST                -0.4142035888             0.3212849619                 1.662061                 0.226347

 TIME                  48.4178656200            17.6894873782                 7.491707                 0.020937






Correlation matrix of the estimates
===================================

             PRICE       GNP         UNEMPY      ARMY        NONIST      TIME

 PRICE       1.000000
 GNP        -0.852459    1.000000
 UNEMPY     -0.714348    0.830438    1.000000
 ARMY       -0.288837    0.041363    0.346873    1.000000
 NONIST      0.644329   -0.945216   -0.829296    0.048380    1.000000
 TIME       -0.762065    0.984993    0.850275    0.008842   -0.985941    1.000000





Analysis of variance
====================

source of                                                                                           right  tail
variation          df          sum of squares           mean square             F - ratio           probability

---------------------------------------------------------------------------------------------------------------

total              16      68445976650.000000

---------------------------------------------------------------------------------------------------------------

regression          6      68443718827.400242    11407286471.233374          50523.395737              0.000000
residual           10          2257822.599758         225782.259976

---------------------------------------------------------------------------------------------------------------

 reduction          1          1421398.544251        1421398.544251             15.294379              0.003560

---------------------------------------------------------------------------------------------------------------
regression null hypothesis :  PRICE = GNP = UNEMPY = ARMY = NONIST = TIME = 0  (in the reduced model)

 reduction null hypothesis :  CONSTANT = 0  (in the original model)
Residual analysis
=================
                                                                                              standardized         studentized
obs.no.        observation        fitted value    standard deviation          residual            residual            residual

     1        60323.000000        60043.097251          309.560718          279.902749            0.745113            0.776447
     2        61122.000000        61252.324654          356.865023         -130.324654           -0.346930           -0.415397
     3        60171.000000        60080.267713          285.370407           90.732287            0.241533            0.238814
     4        61187.000000        61588.312522          289.879498         -401.312522           -1.068311           -1.065904
     5        63221.000000        63661.467688          222.660402         -440.467688           -1.172544           -1.049314
     6        63639.000000        64182.545129          263.991240         -543.545129           -1.446941           -1.375773
     7        64989.000000        64787.678884          299.623135          201.321116            0.535925            0.545892
     8        63761.000000        63545.091106          324.970636          215.908894            0.574759            0.622818
     9        66019.000000        65945.906318          320.405881           73.093682            0.194579            0.208311
    10        67857.000000        66943.783055          203.353946          913.216945            2.431023            2.126468

    11        68169.000000        67744.175150          224.073833          424.824850            1.130902            1.013867
    12        66513.000000        66521.564759          330.050279           -8.564759           -0.022800           -0.025055
    13        68655.000000        69016.329746          278.901149         -361.329746           -0.961875           -0.939243
    14        69564.000000        69536.654395          222.564387           27.345605            0.072795            0.065137
    15        69331.000000        69179.710440          280.025712          151.289560            0.402739            0.394101
    16        70551.000000        71043.499374          377.501703         -492.499374           -1.311055           -1.706668

                                                       sum of residuals :    -0.408183

                 Upper bound for the right tail probability of the largest absolute studentized residual (no. 10) :   0.374272





End of job :  4