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49
30. slope = 0.116
31. slope = 17.707
32. intercept = 29.748 - (17.707)(1.1792)
33. intercept = 29.748 20.88
34. intercept = 8.868
35. correlation coeff. =
5
587.22123
1438.4461
5
763.34
069.7
448.177
74.8896.5
--
5-
))(14(
36. correlation coeff. =
)] - [()] - [(
5-
)(
717.44241438.4461953.6069.7
448.177
971.876
37. correlation coeff. =
)] - )][( - [(
)1 -(
717.44241438.4461953.6069.7
394.75448.177
38. correlation coeff. =
))((0. 427.36116
054.2
39. correlation coeff. =
226.4
054.2
40. correlation coeff. =
056.2
054.2
41. correlation coeff. = .999
A calibration that has a correlation coefficient of less than .990 is not considered linear and should be
re-calibrated. As you can see from the worksheet we have 4 Qa numbers that are in the PM10 range
(1.02 - 1.24 m3/min) and the correlation coeff. is > .990 , thus a good calibration.
Next, calculate and record the SFR (sampler’s seasonally adjusted set point flow rate in m3/min).
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