0602 SCIMS

Temperature

Linear model Poly1:
       f(x) = p1*x + p2
Coefficients (with 95% confidence bounds):
       p1 =      0.9906  (0.9779, 1.003)
       p2 =      0.1293  (-0.05456, 0.3131)

Goodness of fit:
  SSE: 0.1751
  R-square: 0.9977
  Adjusted R-square: 0.9976
  RMSE: 0.05542


Salinity

Linear model Poly1:
       f(x) = p1*x + p2
Coefficients (with 95% confidence bounds):
       p1 =       0.996  (0.9759, 1.016)
       p2 =       0.135  (-0.5347, 0.8047)

Goodness of fit:
  SSE: 0.01196
  R-square: 0.9942
  Adjusted R-square: 0.9941
  RMSE: 0.01449

Fluorescence

Linear model Poly1:
       f(x) = p1*x + p2
Coefficients (with 95% confidence bounds):
       p1 =       3.198  (2.242, 4.154)
       p2 =     -0.6125  (-1.284, 0.05883)

Goodness of fit:
  SSE: 99.2
  R-square: 0.4403
  Adjusted R-square: 0.4305
  RMSE: 1.319