# 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 