Linear model Poly45:
     f(x,y) = p00 + p10*x + p01*y + p20*x^2 + p11*x*y + p02*y^2 + p30*x^3 + p21*x^2*y
                    + p12*x*y^2 + p03*y^3 + p40*x^4 + p31*x^3*y + p22*x^2*y^2
                    + p13*x*y^3 + p04*y^4 + p41*x^4*y + p32*x^3*y^2 + p23*x^2*y^3
                    + p14*x*y^4 + p05*y^5
       where x is normalized by mean 33 and std 12.22
       and where y is normalized by mean 1750 and std 172.1
Coefficients (with 95% confidence bounds):
       p00 =       36.66  (36.03, 37.29)
       p10 =        10.7  (9.717, 11.69)
       p01 =     -0.6188  (-2.218, 0.9801)
       p20 =         3.7  (2.58, 4.82)
       p11 =     -0.8119  (-1.629, 0.004739)
       p02 =      -0.529  (-1.676, 0.6183)
       p30 =      0.7153  (0.1308, 1.3)
       p21 =       -2.21  (-3.504, -0.9162)
       p12 =     -0.1073  (-1.415, 1.201)
       p03 =     -0.5404  (-3.232, 2.151)
       p40 =     -0.3607  (-0.8689, 0.1475)
       p31 =    -0.04183  (-0.4278, 0.3441)
       p22 =      0.2402  (-0.08403, 0.5645)
       p13 =     -0.1561  (-0.4678, 0.1555)
       p04 =      0.1993  (-0.271, 0.6697)
       p41 =      0.9395  (0.4274, 1.452)
       p32 =       0.154  (-0.2943, 0.6024)
       p23 =  -0.0001323  (-0.4166, 0.4163)
       p14 =     0.06349  (-0.4104, 0.5374)
       p05 =     0.09148  (-0.8798, 1.063)

Goodness of fit:
  SSE: 29.55
  R-square: 0.997
  Adjusted R-square: 0.9958
  RMSE: 0.8015