This is data file    norris11.dat
Problem Type: Linear Calibration
Calibration of Ozone Monitors (Photometers)
Jim Norris, NIST
Date            = ...
Customer device = ...
NIST device     = ...
Response variable = measured ozone concentration by customer device
Number of observations             = 36
Number of variables per line image =  2
Order of variables on a line--
   1. Response Variable = measured O3 conc. by customer device
   2. Factor 1          = measured O3 conc. by NIST device
   3. Factor 2          = run (= batch) (3 levels)
Statistical Classification--Regression & Calibration
Project Question 1: What are estimates for intercept and slope?
Project Question 2: For Customer = 400, NIST = ?
Core question: What linear equation allows the customer
               to adjust his/her device to the NIST device
To read this data file into Dataplot--
   skip 25
   read norris11.dat y x run
    Y              X
 Customer         NIST        Run
------------------------------------
    0.1            0.2         1
  338.8          337.4         1
  118.1          118.2         1
  888.0          884.6         1
    9.2           10.1         1
  228.1          226.5         1
  668.5          666.3         1
  998.5          996.3         1
  449.1          448.6         1
  778.9          777.0         1
  559.2          558.2         1
    0.3            0.4         1
    0.1            0.6         2
  778.1          775.5         2
  668.8          666.9         2
  339.3          338.0         2
  448.9          447.5         2
   10.8           11.6         2
  557.7          556.0         2
  228.3          228.1         2
  998.0          995.8         2
  888.8          887.6         2
  119.6          120.2         2
    0.3            0.3         2
    0.6            0.3         3
  557.6          556.8         3
  339.3          339.1         3
  888.0          887.2         3
  998.5          999.0         3
  778.9          779.0         3
   10.2           11.1         3
  117.6          118.3         3
  228.9          229.2         3
  668.4          669.1         3
  449.2          448.9         3
    0.2            0.5         3