The data file, EFTest.dat, is used as an example in all of the help files. 
The results of fitting a second order polynomial equation to that data are 
shown in this file. You might want to use this data for your first trial 
run.

INPUT DATA

Agent Time  
0.1   11.2
0.2   9.1
0.3   8.5
0.4   6.7
0.5   5.3
0.6   6.1
0.7   6.3
0.8   7.4
0.9   7.8
1     9.5


REGRESSION EQUATION

The regression equation is:

Time = 13.5916667 - 25.794697Agent + 21.780303Agent^2

R Square     =     0.94693387   Correlation Coef R =     0.97310527
Adj R Square =     0.93177211   Standard Error     =     0.47201099


EQUATION COEFFICIENT ESTIMATES
                                      Standard      T-Ratio
Variable            Coefficient        Error       (Coef/SE) Prob > |T|

INTERCEPT            13.5916667       0.55515663     24.483  < .0001
Agent               -25.794697        2.3185681     -11.125  < .0001
Agent^2              21.780303        2.0541642      10.603  < .0001


ANALYSIS OF VARIANCE

Dependent Variable: Time
                          Sum of         Mean         F
Source         DF         Squares       Square    Statistic   Prob > F

Regression      2       27.829439      13.91472     62.455    < .0001
Residual        7        1.5595606      0.22279437
Total           9       29.389


CORRELATION COEFFICIENTS / PROBABILITY

                Time     Agent   Agent^2

Time               1
              <.0001
Agent        -0.3077         1
              0.3871    <.0001
Agent^2     -0.09293    0.9746         1
              0.7985    <.0001    <.0001


RESIDUAL LISTING
                   Predicted      Std. Dev.                      Std.
Obsv    Time         Value      of Predicted     Residual       Resid.

1       11.2       11.23         0.37111646     -0.03           -0.103
2        9.1        9.3039394    0.24922354     -0.20393939     -0.509
3        8.5        7.8134848    0.20210303      0.68651515      1.61
4        6.7        6.7586364    0.2086772      -0.058636364    -0.138
5        5.3        6.1393939    0.22351723     -0.83939394     -2.02
6        6.1        5.9557576    0.22351723      0.14424242      0.347
7        6.3        6.2077273    0.2086772       0.092272727     0.218
8        7.4        6.895303     0.20210303      0.50469697      1.18
9        7.8        8.0184848    0.24922354     -0.21848485     -0.545
10       9.5        9.5772727    0.37111646     -0.077272727    -0.265


CONFIDENCE / PREDICTION INTERVALS AT THE 95% LEVEL

                          Predicted      Confidence/Prediction Interval
Obsv           Time         Value                   Lower         Upper

1              11.2           11.23    CI = [     10.3524,      12.1076]
                                       PI = [      9.8102,      12.6498]
2               9.1       9.3039394    CI = [     8.71462,      9.89326]
                                       PI = [     8.04178,      10.5661]
3               8.5       7.8134848    CI = [     7.33559,      8.29138]
                                       PI = [     6.59935,      9.02762]
4               6.7       6.7586364    CI = [     6.26519,      7.25208]
                                       PI = [      5.5383,      7.97898]
5               5.3       6.1393939    CI = [     5.61086,      6.66793]
                                       PI = [     4.90445,      7.37434]
6               6.1       5.9557576    CI = [     5.42722,      6.48429]
                                       PI = [     4.72081,       7.1907]
7               6.3       6.2077273    CI = [     5.71428,      6.70117]
                                       PI = [     4.98739,      7.42807]
8               7.4        6.895303    CI = [     6.41741,       7.3732]
                                       PI = [     5.68117,      8.10944]
9               7.8       8.0184848    CI = [     7.42916,       8.6078]
                                       PI = [     6.75633,      9.28064]
10              9.5       9.5772727    CI = [     8.69972,      10.4548]
                                       PI = [     8.15747,      10.9971]


POINT ESTIMATE AT THE 95% CONFIDENCE LEVEL

Point Estimate Independent Variables:
Agent      =      0.5

Predicted Time = 6.1393939
Confidence Interval = [5.61086, 6.66793]
Prediction Interval = [4.90445, 7.37434]


DESCRIPTIVE STATISTICS

Variable Name: Time                Number of Variables:   10

Minimum:           5.3             Variance:              3.26544444     
Mean (Average):    7.79            Std. Deviation (n-1):  1.80705408     
Median:            7.6             Std. Deviation (n):    1.71432202     
Maximum:          11.2             Std. Error of Mean:    0.571440674    
Range:             5.9             Sum:                  77.9           

Data Organization:

  0%     5.3           Minimum
 10%     5.38          10th Percentile
 25%     6.25          First Quartile
 50%     7.6           Median
 75%     9.2           Third Quartile
 90%    11.03          90th Percentile
100%    11.2           Maximum

Confidence Intervals for the Mean using t distribution:

 90% = [ 6.74248483, 8.83751517 ]
 95% = [ 6.49731177, 9.08268823 ]
 99% = [ 5.93291209, 9.64708791 ]
