The SAS System                                1
                                              08:20 Thursday, September 11, 2003

                              Univariate Procedure

Variable=Y             Work Hours

                                    Moments

                    N                25  Sum Wgts         25
                    Mean         312.28  Sum            7807
                    Std Dev    113.1376  Variance   12800.13
                    Skewness   -0.07808  Kurtosis   -0.63259
                    USS         2745173  CSS          307203
                    CV         36.22955  Std Mean   22.62753
                    T:Mean=0   13.80089  Pr>|T|       0.0001
                    Num ^= 0         25  Num > 0          25
                    M(Sign)        12.5  Pr>=|M|      0.0001
                    Sgn Rank      162.5  Pr>=|S|      0.0001
                    W:Normal   0.970756  Pr<W         0.6699


                                Quantiles(Def=5)

                     100% Max       546       99%       546
                      75% Q3        389       95%       468
                      50% Med       342       90%       435
                      25% Q1        224       10%       157
                       0% Min       113        5%       121
                                               1%       113
                     Range          433                    
                     Q3-Q1          165                    
                     Mode           113                    


                                    Extremes

                       Lowest    Obs     Highest    Obs
                          113(      14)      420(      16)
                          121(       2)      421(      20)
                          157(      10)      435(      15)
                          160(      11)      468(      22)
                          212(      17)      546(       7)


                Stem Leaf                     #             Boxplot
                   5 5                        1                |   
                   5                                           |   
                   4 7                        1                |   
                   4 0224                     4                |   
                   3 556889                   6             +-----+
                   3 24                       2             *--+--*
                   2 577                      3             |     |
                   2 1224                     4             +-----+
                   1 66                       2                |   
                   1 12                       2                |   
                     ----+----+----+----+              
                 Multiply Stem.Leaf by 10**+2          


                                 The SAS System                                2
                                              08:20 Thursday, September 11, 2003

                              Univariate Procedure

Variable=Y             Work Hours

                                 Normal Probability Plot              
               575+                                               ++++
                  |                                          +++*+    
                  |                                      ++*+         
               425+                                 +*+*+*            
                  |                          ******+*                 
                  |                        **+++                      
               275+                    +***                           
                  |                **+**                              
                  |           +*+*+                                   
               125+     * +++*                                        
                   +----+----+----+----+----+----+----+----+----+----+
                       -2        -1         0        +1        +2     



                                Frequency Table

                               Percents                      Percents
                 Value Count  Cell   Cum       Value Count  Cell   Cum
                   113     1   4.0   4.0         352     1   4.0  56.0
                   121     1   4.0   8.0         353     1   4.0  60.0
                   157     1   4.0  12.0         361     1   4.0  64.0
                   160     1   4.0  16.0         376     1   4.0  68.0
                   212     1   4.0  20.0         377     1   4.0  72.0
                   221     1   4.0  24.0         389     1   4.0  76.0
                   224     1   4.0  28.0         399     1   4.0  80.0
                   244     1   4.0  32.0         420     1   4.0  84.0
                   252     1   4.0  36.0         421     1   4.0  88.0
                   268     1   4.0  40.0         435     1   4.0  92.0
                   273     1   4.0  44.0         468     1   4.0  96.0
                   323     1   4.0  48.0         546     1   4.0 100.0
                   342     1   4.0  52.0
                                 The SAS System                                3
                                              08:20 Thursday, September 11, 2003

       --------------------------------------------------------------------
  600 +                                                                    |
      |                                                                    |
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  500 +                                                                    |
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      |                                               + +                  |
      |                                                                    |
W 400 +                                            +                       |
o     |                                           +                        |
r     |                                       + +                          |
k     |                                                                    |
      |                                   ++ +                             |
H     |                                  +                                 |
o     |                                                                    |
u     |                                +                                   |
r     |                                                                    |
s 300 +                                                                    |
      |                                                                    |
      |                               +                                    |
      |                             +                                      |
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      |                                                                    |
      |                       ++                                           |
      |                    +                                               |
  200 +                                                                    |
      |                                                                    |
      |                                                                    |
      |                                                                    |
      |               +  +                                                 |
      |                                                                    |
      |                                                                    |
      |            +                                                       |
      |     +                                                              |
  100 +                                                                    |
       +---------+----+--------+---------+--------+--------+----+---------+
       1         5   10       25        50       75       90   95        99

                               Normal Percentiles


                                 The SAS System                                4
                                              08:20 Thursday, September 11, 2003

Model: MODEL1  
Dependent Variable: Y          Work Hours                              

                              Analysis of Variance

                                 Sum of         Mean
        Source          DF      Squares       Square      F Value       Prob>F

        Model            1 252377.58081 252377.58081      105.876       0.0001
        Error           23  54825.45919   2383.71562
        C Total         24 307203.04000

            Root MSE      48.82331     R-square       0.8215
            Dep Mean     312.28000     Adj R-sq       0.8138
            C.V.          15.63447

                              Parameter Estimates

                       Parameter      Standard    T for H0:               
      Variable  DF      Estimate         Error   Parameter=0    Prob > |T|

      INTERCEP   1     62.365859   26.17743389         2.382        0.0259
      X          1      3.570202    0.34697216        10.290        0.0001

                    Variable
      Variable  DF     Label

      INTERCEP   1  Intercept                               
      X          1  Lot Size                                

                                 The SAS System                                5
                                              08:20 Thursday, September 11, 2003

              Plot of RESID*X.  Legend: A = 1 obs, B = 2 obs, etc.

       |
       |
   125 +
       |
       |
       |
       |       A
   100 +
       |
       |
       |                                                 A
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    75 +
       |
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       |                                                                      A
    50 +                                   A      A
       |       A
       |              A
R      |
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s   25 +                     A
i      |
d      |
u      |                                   A
a      |                                          A      A
l    0 +                                                        A
       |                                          A      A
       |                                                 A
       |
       |A                    A                                         A
   -25 +
       |
       |                                                               A
       |
       |              A
   -50 +       A
       |                            A
       |                                   A
       |                                                        A
       |
   -75 +
       |
       |                     A
       |
       |
  -100 +
       |
       -+------+------+------+------+------+------+------+------+------+------+-
       20     30     40     50     60     70     80     90     100    110    120

                                        Lot Size

                                                                                
                                 The SAS System                                6
                                              08:20 Thursday, September 11, 2003

            Plot of RESID*PRED.  Legend: A = 1 obs, B = 2 obs, etc.

       |
       |
   125 +
       |
       |
       |
       |       A
   100 +
       |
       |
       |                                                 A
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    75 +
       |
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    50 +                                   A      A
       |       A
       |              A
R      |
e      |
s   25 +                     A
i      |
d      |
u      |                                   A
a      |                                          A      A
l    0 +                                                        A
       |                                          A      A
       |                                                 A
       |
       |A                    A                                         A
   -25 +
       |
       |                                                               A
       |
       |              A
   -50 +       A
       |                            A
       |                                   A
       |                                                        A
       |
   -75 +
       |
       |                     A
       |
       |
  -100 +
       |
       -+------+------+------+------+------+------+------+------+------+------+-
    133.77 169.47 205.17 240.88 276.58 312.28 347.98 383.68 419.39 455.09 490.79

                                  Predicted Value of Y

                                                                                
                                 The SAS System                                7
                                              08:20 Thursday, September 11, 2003

            Plot of ST_RESID*X.  Legend: A = 1 obs, B = 2 obs, etc.

       |
       |
   2.5 +
       |
       |       A
       |
       |
   2.0 +
       |
       |                                                 A
       |
       |
   1.5 +
       |
S      |
t      |                                                                      A
u      |                                          A
d  1.0 +                                   A
e      |       A
n      |              A
t      |
i      |                     A
z  0.5 +
e      |
d      |
       |                                   A
R      |                                          A      A
e  0.0 +                                                        A
s      |                                          A      A
i      |                                                 A
d      |
u      |                     A                                         A
a -0.5 +A
l      |
       |                                                               A
       |
       |
  -1.0 +              A
       |       A                    A
       |
       |                                   A
       |                                                        A
  -1.5 +
       |
       |
       |                     A
       |
  -2.0 +
       |
       -+------+------+------+------+------+------+------+------+------+------+-
       20     30     40     50     60     70     80     90     100    110    120

                                        Lot Size

                                                                                
                                 The SAS System                                8
                                              08:20 Thursday, September 11, 2003

                              Univariate Procedure

Variable=RESID         Residual

                                    Moments

                    N                25  Sum Wgts         25
                    Mean              0  Sum               0
                    Std Dev    47.79534  Variance   2284.394
                    Skewness   0.316913  Kurtosis   -0.39415
                    USS        54825.46  CSS        54825.46
                    CV                .  Std Mean   9.559067
                    T:Mean=0          0  Pr>|T|       1.0000
                    Num ^= 0         25  Num > 0          12
                    M(Sign)        -0.5  Pr>=|M|      1.0000
                    Sgn Rank       -7.5  Pr>=|S|      0.8448
                    W:Normal   0.978107  Pr<W         0.8414


                                Quantiles(Def=5)

                     100% Max  103.5281       99%  103.5281
                      75% Q3   38.82606       95%  84.31596
                      50% Med  -5.98202       90%   55.2099
                      25% Q1   -34.0881       10%    -60.28
                       0% Min   -83.876        5%  -66.3861
                                               1%   -83.876
                     Range      187.404                    
                     Q3-Q1     72.91414                    
                     Mode       -83.876                    


                                    Extremes

                       Lowest    Obs     Highest    Obs
                      -83.876(      10)    48.72(       5)
                     -66.3861(       9) 51.01798(       1)
                       -60.28(      12)  55.2099(       7)
                      -52.578(       6) 84.31596(      22)
                     -48.4719(       2) 103.5281(      21)


                Stem Leaf                     #             Boxplot
                  10 4                        1                |   
                   8 4                        1                |   
                   6                                           |   
                   4 3915                     4                |   
                   2 79                       2             +-----+
                   0 1451                     4             |  +  |
                  -0 876                      3             *-----*
                  -2 4100                     4             +-----+
                  -4 385                      3                |   
                  -6 60                       2                |   
                  -8 4                        1                |   
                     ----+----+----+----+              
                 Multiply Stem.Leaf by 10**+1          

                                 The SAS System                                9
                                              08:20 Thursday, September 11, 2003

                              Univariate Procedure

Variable=RESID         Residual

                                 Normal Probability Plot              
               110+                                             *+++++
                  |                                        * ++++     
                  |                                      ++++         
                  |                                 **+*+*            
                  |                              **++                 
                10+                         +****                     
                  |                     +****                         
                  |                 ++***                             
                  |             +*+**                                 
                  |         +*+*                                      
               -90+     *+++                                          
                   +----+----+----+----+----+----+----+----+----+----+
                       -2        -1         0        +1        +2     


                                 The SAS System                               10
                                              08:20 Thursday, September 11, 2003

        -------------------------------------------------------------------
   150 +                                                                   |
       |                                                                   |
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       |                                                                   |
       |                                                                   |
       |                                                             +     |
   100 +                                                                   |
       |                                                                   |
       |                                                                   |
       |                                                       +           |
       |                                                                   |
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       |                                                                   |
       |                                                                   |
       |                                                   +               |
    50 +                                              + +                  |
R      |                                            +                      |
e      |                                          +                        |
s      |                                                                   |
i      |                                        +                          |
d      |                                                                   |
u      |                                                                   |
a      |                                       +                           |
l      |                                    ++                             |
     0 +                                  +                                |
       |                              + ++                                 |
       |                                                                   |
       |                                                                   |
       |                          ++ +                                     |
       |                                                                   |
       |                        +                                          |
       |                                                                   |
       |                      +                                            |
   -50 +                  + +                                              |
       |                                                                   |
       |               +                                                   |
       |           +                                                       |
       |                                                                   |
       |                                                                   |
       |     +                                                             |
       |                                                                   |
       |                                                                   |
  -100 +                                                                   |
        +---------+----+-------+---------+---------+-------+----+---------+
        1         5   10      25        50        75      90   95        99

                               Normal Percentiles


                                 The SAS System                               11
                                              08:20 Thursday, September 11, 2003

                   OBS     X      Y        RESID     RESIDSQ

                     1     80    399      51.018     2602.83
                     2     30    121     -48.472     2349.53
                     3     50    221     -19.876      395.05
                     4     90    376      -7.684       59.04
                     5     70    361      48.720     2373.64
                     6     60    224     -52.578     2764.44
                     7    120    546      55.210     3048.13
                     8     80    352       4.018       16.14
                     9    100    353     -66.386     4407.11
                    10     50    157     -83.876     7035.18
                    11     40    160     -45.174     2040.68
                    12     70    252     -60.280     3633.68
                    13     90    389       5.316       28.26
                    14     20    113     -20.770      431.39
                    15    110    435     -20.088      403.53
                    16    100    420       0.614        0.38
                    17     30    212      42.528     1808.64
                    18     50    268      27.124      735.71
                    19     90    377      -6.684       44.68
                    20    110    421     -34.088     1162.00
                    21     30    273     103.528    10718.06
                    22     90    468      84.316     7109.18
                    23     40    244      38.826     1507.46
                    24     80    342      -5.982       35.78
                    25     70    323      10.720      114.92
                               Breusch-Pagen Test                             12
                                              08:20 Thursday, September 11, 2003

Model: MODEL1  
Dependent Variable: RESIDSQ                                            

                              Analysis of Variance

                                 Sum of         Mean
        Source          DF      Squares       Square      F Value       Prob>F

        Model            1 7896141.9614 7896141.9614        1.091       0.3070
        Error           23 166395896.12  7234604.179
        C Total         24 174292038.08

            Root MSE    2689.72195     R-square       0.0453
            Dep Mean    2193.01837     Adj R-sq       0.0038
            C.V.         122.64931

                              Parameter Estimates

                       Parameter      Standard    T for H0:               
      Variable  DF      Estimate         Error   Parameter=0    Prob > |T|

      INTERCEP   1   3590.908112  1442.1393863         2.490        0.0204
      X          1    -19.969853   19.11502157        -1.045        0.3070

                    Variable
      Variable  DF     Label

      INTERCEP   1  Intercept                               
      X          1  Lot Size                                

                            Sorted data by residual                           13
                                              08:20 Thursday, September 11, 2003

                   OBS     X      Y        RESID     RESIDSQ

                     1     50    157     -83.876     7035.18
                     2    100    353     -66.386     4407.11
                     3     70    252     -60.280     3633.68
                     4     60    224     -52.578     2764.44
                     5     30    121     -48.472     2349.53
                     6     40    160     -45.174     2040.68
                     7    110    421     -34.088     1162.00
                     8     20    113     -20.770      431.39
                     9    110    435     -20.088      403.53
                    10     50    221     -19.876      395.05
                    11     90    376      -7.684       59.04
                    12     90    377      -6.684       44.68
                    13     80    342      -5.982       35.78
                    14    100    420       0.614        0.38
                    15     80    352       4.018       16.14
                    16     90    389       5.316       28.26
                    17     70    323      10.720      114.92
                    18     50    268      27.124      735.71
                    19     40    244      38.826     1507.46
                    20     30    212      42.528     1808.64
                    21     70    361      48.720     2373.64
                    22     80    399      51.018     2602.83
                    23    120    546      55.210     3048.13
                    24     90    468      84.316     7109.18
                    25     30    273     103.528    10718.06
                      First step to find normal percentiles                   14
                                              08:20 Thursday, September 11, 2003

        OBS     X      Y        RESID     RESIDSQ    RANKRESI       Z1

          1     50    157     -83.876     7035.18        1       0.02475
          2    100    353     -66.386     4407.11        2       0.06436
          3     70    252     -60.280     3633.68        3       0.10396
          4     60    224     -52.578     2764.44        4       0.14356
          5     30    121     -48.472     2349.53        5       0.18317
          6     40    160     -45.174     2040.68        6       0.22277
          7    110    421     -34.088     1162.00        7       0.26238
          8     20    113     -20.770      431.39        8       0.30198
          9    110    435     -20.088      403.53        9       0.34158
         10     50    221     -19.876      395.05       10       0.38119
         11     90    376      -7.684       59.04       11       0.42079
         12     90    377      -6.684       44.68       12       0.46040
         13     80    342      -5.982       35.78       13       0.50000
         14    100    420       0.614        0.38       14       0.53960
         15     80    352       4.018       16.14       15       0.57921
         16     90    389       5.316       28.26       16       0.61881
         17     70    323      10.720      114.92       17       0.65842
         18     50    268      27.124      735.71       18       0.69802
         19     40    244      38.826     1507.46       19       0.73762
         20     30    212      42.528     1808.64       20       0.77723
         21     70    361      48.720     2373.64       21       0.81683
         22     80    399      51.018     2602.83       22       0.85644
         23    120    546      55.210     3048.13       23       0.89604
         24     90    468      84.316     7109.18       24       0.93564
         25     30    273     103.528    10718.06       25       0.97525
                      Using SAS to find normal percentiles                    15
                                              08:20 Thursday, September 11, 2003

  OBS     X      Y        RESID     RESIDSQ    RANKRESI       Z1      NOR_PERC

    1     50    157     -83.876     7035.18        1       0.02475    -1.96422
    2    100    353     -66.386     4407.11        2       0.06436    -1.51920
    3     70    252     -60.280     3633.68        3       0.10396    -1.25930
    4     60    224     -52.578     2764.44        4       0.14356    -1.06444
    5     30    121     -48.472     2349.53        5       0.18317    -0.90336
    6     40    160     -45.174     2040.68        6       0.22277    -0.76286
    7    110    421     -34.088     1162.00        7       0.26238    -0.63604
    8     20    113     -20.770      431.39        8       0.30198    -0.51871
    9    110    435     -20.088      403.53        9       0.34158    -0.40814
   10     50    221     -19.876      395.05       10       0.38119    -0.30236
   11     90    376      -7.684       59.04       11       0.42079    -0.19987
   12     90    377      -6.684       44.68       12       0.46040    -0.09944
   13     80    342      -5.982       35.78       13       0.50000     0.00000
   14    100    420       0.614        0.38       14       0.53960     0.09944
   15     80    352       4.018       16.14       15       0.57921     0.19987
   16     90    389       5.316       28.26       16       0.61881     0.30236
   17     70    323      10.720      114.92       17       0.65842     0.40814
   18     50    268      27.124      735.71       18       0.69802     0.51871
   19     40    244      38.826     1507.46       19       0.73762     0.63604
   20     30    212      42.528     1808.64       20       0.77723     0.76286
   21     70    361      48.720     2373.64       21       0.81683     0.90336
   22     80    399      51.018     2602.83       22       0.85644     1.06444
   23    120    546      55.210     3048.13       23       0.89604     1.25930
   24     90    468      84.316     7109.18       24       0.93564     1.51920
   25     30    273     103.528    10718.06       25       0.97525     1.96422
                            Normal probability plot                           16
                                              08:20 Thursday, September 11, 2003

          Plot of RESID*NOR_PERC.  Legend: A = 1 obs, B = 2 obs, etc.

            |
            |
        125 +
            |
            |
            |
            |                                                         A
        100 +
            |
            |
            |                                                   A
            |
         75 +
            |
            |
            |
            |                                                A
         50 +                                           A A
            |                                         A
            |                                       A
     R      |
     e      |
     s   25 +                                     A
     i      |
     d      |
     u      |                                    A
     a      |                                 AA
     l    0 +                               A
            |                             AA
            |                           A
            |
            |                       AA A
        -25 +
            |
            |                     A
            |
            |                   A
        -50 +                 A
            |               A
            |            A
            |         A
            |
        -75 +
            |
            |   A
            |
            |
       -100 +
            |
            ---+-------------+-------------+-------------+-------------+--
              -2            -1             0             1             2

                                RANK FOR VARIABLE RESID

                                                                                
                 Correlation for correlation test for normality               17
                                              08:20 Thursday, September 11, 2003

                              Correlation Analysis

                       2 'VAR' Variables:  RESID    NOR_PERC


                               Simple Statistics
 
  Variable                N             Mean          Std Dev              Sum

  RESID                  25                0        47.795336                0
  NOR_PERC               25                0         0.968867                0

                            Simple Statistics
 
  Variable          Minimum          Maximum     Label

  RESID          -83.875960       103.528081     Residual               
  NOR_PERC        -1.964217         1.964217     RANK FOR VARIABLE RESID


    Pearson Correlation Coefficients / Prob > |R| under Ho: Rho=0 / N = 25  

                                              RESID          NOR_PERC

          RESID                             1.00000           0.99151
          Residual                           0.0               0.0001

          NOR_PERC                          0.99151           1.00000
          RANK FOR VARIABLE RESID            0.0001            0.0