p3_ex3

p3_ex3:
  MATLAB version.
  Linear regression for model parameters.

  Estimate linear model parameters on training data:
  Number of training records = 1000
  RMS of training residual = 5931.5
  Average charge           = 13075.8

  Seek relationship y = c1 * 1 + c2 * age + c3 * sex + c4 * bmi + c5 * children + c5 * smoker
  c1 = -12297.2
  c2 = 265.587
  c3 = -267.148
  c4 = 319.77
  c5 = 416.865
  c6 = 23812.6

  Index  Predicted    Actual

    200   17276.89  14901.52
    400    4688.97   1631.67
    600   14346.40  33471.97
    800   27941.27  17904.53
   1000    5860.93   5267.82

  Evaluate model on testing data:
  Number of testing records = 338
  RMS of testing residual = 6424.35
  Average charge           = 13846.4

p3_ex3:
  Normal end of execution.
diary p3_ex4.txt