This is the Dataplot data file CLB1.DAT Source: This data set is used in the discussion of capibration in the Process Modeling Chapter of the e-Handbook (first given on pmd133.htm). This data set was provided by Will Guthrie. Description: Thermocouples are a common type of temperature measurement device that is often more practical than a thermometer for temperature assessment. Thermocouples measure temperature in terms of voltage, however, rather than directly on a temperature scale. In addition, the response of a particular thermocouple depends on the exact formulation of the metals used to construct it, meaning two thermocouples will respond somewhat differently under identical measurement conditions. As a result, thermocouples need to be calibrated to produce interpretable measurement information. The calibration curve for a thermocouple is often constructed by comparing thermocouple output to relatively precise thermometer data. Data: This data is a simulated data set. 1. Column 1 = Temperature (X) 2. Column 2 = Observed Voltage (Y) 3. Column 3 = Predicted values from quadratic loess To read this file into Dataplot-- SKIP 25 READ CLB1.DAT X Y PRED X Y PRED ------------------------- 100 33.14269 33.09845 110 42.69237 42.70840 120 53.37345 53.40986 130 65.13426 65.20137 140 78.14743 78.08459 150 92.02897 92.05909 160 107.12636 107.12084 170 123.26571 123.27320 180 140.52200 140.51459 190 158.85228 158.83355 200 178.16609 178.23613 210 198.77873 198.72225 220 220.25010 220.27129 230 242.89348 242.89068 240 266.54112 266.57117 250 291.37102 291.30428 260 317.06099 317.08915 270 343.89418 343.91788 280 371.83636 371.79609 290 400.68258 400.70987 300 430.69047 430.66310 310 461.65421 461.65791 320 493.63800 493.67778 330 526.73634 526.72403 340 560.81987 560.79960 350 595.89490 595.89048 360 632.02204 632.00253 370 669.10657 669.12874 380 707.21450 707.26915 390 746.42178 746.41315 400 786.58694 786.55103 410 827.74941 827.69188 420 869.77501 869.81446 430 912.89683 912.92176 440 956.98581 957.01649 450 1002.09584 1002.07703 460 1048.11660 1048.10560 470 1095.16733 1095.10685 480 1143.04919 1143.06281 490 1191.94896 1191.97561 500 1241.82289 1241.84852 510 1292.63121 1292.66518 520 1344.47822 1344.43576 530 1397.18922 1397.15834 540 1450.77303 1450.79835 550 1505.35741 1505.35028 560 1560.85111 1560.82663 570 1617.278 1617.220 580 1674.569 1674.529 590 1732.762 1732.756 600 1791.852 1791.902