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Pyrene was analyzed using GC-MS at the selected ion mode. The calibration curve of peak area (GC-MS response) vs. concentrati

Pyrene was analyzed using GC-MS at the selected ion mode. The calibration curve of peak area (GC-MS response) vs. concentration is shown below along with the regression output. A blank sample was analyzed seven times, giving a mean peak area of 125 and standard deviation of 15. A check standard at 0.5 ppm was also measured seven times, giving a standard deviation of 300. The raw data, Excel's printouts of linear regression along with the line plot are attached. (a) Perform your own Excel analysis and compare with what is given. (b) What are the linear regression equation and the R*? (c) What is the calibration sensitivity? (d) Is the linear regression statistically significant, if yes then why? (e) If an unknown liquid sample (after a dilution of 10 times) was injected into GC-MS and gave a peak area of 35720, what is the concentration of this sample? Concentration of GC-MS response pyrene (ppm) 0 0 7456 14929 21219 28783 43496 0.2 0.3 0.4 0.6 SUMMARY OUTPUT Regression Statistics Multiple R R Square Adjusted R Square Standard Error Observations 0.999793298 0.999586638 0.999483298 353.7486093
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Pyrene was analyzed using GC-MS at the selected ion mode. The calibration curve of peak area (GC-MS response) vs. concentration is shown below along with the regression output. A blank sample was ana...
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