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# Table 2 The regression equations and the differences in MDLs

No. of lab | Regression equation | Slope | Intercept | Correlation | Differences in MDLs (%) | Conclusion | ||
---|---|---|---|---|---|---|---|---|

Coefficient | MDL1 | MDL2 | MDL3 | |||||

1 | y = 1.014*x − 0.002 | 1.014 | −0.002 | 0.9999 | 1.32 | 1.37 | 1.38 | All less than desirable |

2 | y = 1.008*x − 0.044 | 1.008 | −0.044 | 0.9997 | −0.96 | 0.14 | 0.36 | All less than optimal |

3 | y = 1.007*x + 0.053 | 1.007 | 0.053 | 0.9997 | 2.82 | 1.49 | 1.23 | Two less than desirable |

4 | y = 0.989*x − 0.072 | 0.989 | −0.072 | 0.9999 | −3.98 | −2.18 | −1.82 | Two less than desirable |

5 | y = 1.020*x + 0.158 | 1.020 | 0.158 | 0.9998 | 8.32 | 4.37 | 3.58 | All bigger than min |

6 | y = 1.018*x − 0.009 | 1.018 | −0.009 | 0.9994 | 1.44 | 1.67 | 1.71 | All less than desirable |

7 | y = 0.968*x − 0.029 | 0.968 | −0.029 | 0.9999 | −4.36 | −3.63 | −3.49 | One less than min |

8 | y = 0.938*x − 0.120 | 0.938 | −0.120 | 0.9997 | −11.00 | −8.00 | −7.40 | All bigger than min |

9 | y = 1.011*x + 0.100 | 1.011 | 0.100 | 0.9994 | 5.10 | 2.60 | 2.10 | Two less than min |

10 | y = 0.963*x − 0.042 | 0.963 | −0.042 | 0.9999 | −5.38 | −4.33 | −4.12 | All bigger than min |

11 | y = 0.928*x + 0.630 | 0.928 | 0.630 | 0.9975 | 18.00 | 2.25 | −0.90 | Two less than desirable |

12 | y = 0.988*x + 0.046 | 0.988 | 0.046 | 0.9999 | 0.64 | −0.51 | −0.74 | All less than optimal |

13 | y = 1.011*x − 0.007 | 1.011 | −0.007 | 0.9999 | 0.82 | 1.00 | 1.03 | All less than optimal |

14 | y = 1.064*x − 0.042 | 1.064 | −0.042 | 0.9800 | 4.72 | 5.77 | 5.98 | All bigger than min |

15 | y = 0.982*x + 0.030 | 0.982 | 0.030 | 0.9996 | −0.60 | −1.35 | −1.50 | All less than desirable |

16 | y = 1.055*x + 0.016 | 1.055 | 0.016 | 0.9998 | 6.14 | 5.74 | 5.66 | All bigger than min |

17 | y = 0.993*x − 0.001 | 0.993 | −0.001 | 0.9996 | −0.74 | −0.71 | −0.71 | All less than optimal |

18 | y = 0.964*x + 0.133 | 0.964 | 0.133 | 0.9999 | 1.72 | −1.61 | −2.27 | All less than desirable |

19 | y = 1.029*x − 0.174 | 1.029 | −0.174 | 0.9998 | −4.06 | 0.29 | 1.16 | Two less than optimal |

20 | y = 0.989*x + 0.025 | 0.989 | 0.025 | 0.9995 | −0.10 | −0.73 | −0.85 | All less than optimal |