RPD -- Example 1.12 -- Y=Rel Risk-1, X=Dust Exposure

                          Obs    dust     rr      rr_1

                           1       75    1.10     0.10
                           2      100    1.05     0.05
                           3      150    0.97    -0.03
                           4      350    1.90     0.90
                           5      600    1.83     0.83
                           6      900    2.45     1.45
                           7     1300    3.70     2.70
                           8     1650    3.52     2.52
                           9     2250    4.16     3.16
              RPD -- Example 1.12 -- Y=Rel Risk-1, X=Dust Exposure

             Plot of rr_1*dust.  Legend: A = 1 obs, B = 2 obs, etc.

rr_1 |
 3.5 +
     |
     |
     |
     |                                                                A
     |
 3.0 +
     |
     |
     |
     |                                     A
     |
 2.5 +                                               A
     |
     |
     |
     |
     |
 2.0 +
     |
     |
     |
     |
     |
 1.5 +
     |                          A
     |
     |
     |
     |
 1.0 +
     |           A
     |                  A
     |
     |
     |
 0.5 +
     |
     |
     |
     |
     |   AA
 0.0 +     A
     |
     --+-------------+-------------+-------------+-------------+-------------+--
       0            500          1000          1500          2000          2500

                                         dust
              RPD -- Example 1.12 -- Y=Rel Risk-1, X=Dust Exposure

                               The REG Procedure
                                 Model: MODEL1
                           Dependent Variable: rr_1 

              NOTE: No intercept in model. R-Square is redefined.

                              Analysis of Variance
 
                                     Sum of           Mean
 Source                   DF        Squares         Square    F Value    Pr > F

 Model                     1       26.44412       26.44412     265.54    <.0001
 Error                     8        0.79668        0.09959                     
 Uncorrected Total         9       27.24080                                    


              Root MSE              0.31557    R-Square     0.9708
              Dependent Mean        1.29778    Adj R-Sq     0.9671
              Coeff Var            24.31629                       


                              Parameter Estimates
 
                           Parameter       Standard
      Variable     DF       Estimate          Error    t Value    Pr > |t|

      dust          1        0.00156     0.00009600      16.30      <.0001
              RPD -- Example 1.12 -- Y=Rel Risk-1, X=Dust Exposure

                               The REG Procedure
                                 Model: MODEL1
                           Dependent Variable: rr_1 

                                Output Statistics
 
              Dep Var  Predicted     Std Error             Std Error   Student
       Obs       rr_1      Value  Mean Predict   Residual   Residual  Residual

         1     0.1000     0.1173      0.007200    -0.0173      0.315   -0.0549
         2     0.0500     0.1564      0.009600    -0.1064      0.315    -0.337
         3    -0.0300     0.2347        0.0144    -0.2647      0.315    -0.840
         4     0.9000     0.5475        0.0336     0.3525      0.314     1.123
         5     0.8300     0.9386        0.0576    -0.1086      0.310    -0.350
         6     1.4500     1.4079        0.0864     0.0421      0.304     0.139
         7     2.7000     2.0337        0.1248     0.6663      0.290     2.299
         8     2.5200     2.5812        0.1584    -0.0612      0.273    -0.224
         9     3.1600     3.5198        0.2160    -0.3598      0.230    -1.564

                               Output Statistics
 
                                                    Cook's
                          Obs    -2-1 0 1 2              D

                            1  |      |      |       0.000
                            2  |      |      |       0.000
                            3  |     *|      |       0.001
                            4  |      |**    |       0.014
                            5  |      |      |       0.004
                            6  |      |      |       0.002
                            7  |      |****  |       0.980
                            8  |      |      |       0.017
                            9  |   ***|      |       2.156


                  Sum of Residuals                     0.14277
                  Sum of Squared Residuals             0.79668
                  Predicted Residual SS (PRESS)        1.31270