Skip to main content
. 2015 May 27;9(4):771–781. doi: 10.1177/1932296815586424

Table 1.

Linear and Second Order Fit to n = 6 Sensors at Glucose Concentrations of Approximately 20, 50, 100, 200, 400, 600, 750, 850 mg/dL.

Line fits and R2
P71-S1 P71-S2 P71-S3 P71-S4 P74-S1 P74-S2 P74-S3 P74-S4 Average
x coef 202.5595 206.1809 314.2437 218.3638 182.8645 205.3441 222.3670 222.3943 221.7897
Intercept −36.9354 −38.2946 −94.9531 −35.9948 −49.1950 −60.6936 −163.1160 −42.1438 −65.1658
R2 .9992 .9989 .9941 .9990 .9990 .9991 .9974 .9979 .9981
Second order poly fits and R2
P71-S1 P71-S2 P71-S3 P71-S4 P74-S1 P74-S2 P74-S3 P74-S4
x^2 coef 5.7834 6.8957 36.4643 7.3630 4.4833 5.5423 12.1146 10.9721 11.2024
x coef 176.4784 175.6263 197.9964 187.6789 159.7632 179.2818 159.3513 177.1182 176.6618
Intercept −21.3024 −20.2732 −37.8288 −19.0989 −32.8541 −43.2117 −105.5037 −17.5080 −37.1976
R2 1.0000 .9999 .9997 1.0000 .9998 .9998 .9998 .9999 .9999

Resulting R2 of .998 for linear fit and .999 for second order fit demonstrate a very linear relationship between glucose levels and sensor output and support the simple application of 2-point linear calibration values.