% data for assignment 1
% y is noiseless data slope 1/2 intercept 1
% to which can be added three kinds of noise
% noise1 is gaussian, noise2 is lognormal and noise 3 is gaussian with two outliers
% x     y    noise1   noise2    noise3
  0   1.00    1.611    5.009    1.611
  1   1.50    0.318    1.374    0.318
  2   2.00   -2.002    0.135   -2.002
  3   2.50    2.376   10.762    2.376
  4   3.00    0.068    1.070    0.068
  5   3.50   -0.330    0.719   -0.330
  6   4.00    0.658    1.930    0.658
  7   4.50    1.559    4.753    1.559
  8   5.00   -0.031    0.969   -0.031
  9   5.50    1.404    4.073   30.000
 10   6.00    0.354    1.425    0.354
 11   6.50   -1.038    0.354   -1.038
 12   7.00   -0.341    0.711   -0.341
 13   7.50   -0.084    0.920   -0.084
 14   8.00    0.870    2.388    0.870
 15   8.50    0.658    1.930    0.658
 16   9.00   -0.269    0.764   -0.269
 17   9.50    0.080    1.083    0.080
 18  10.00   -0.053    0.948   -0.053
 19  10.50    0.021    1.021    0.021
 20  11.00   -0.234    0.791   -0.234
 21  11.50    0.627    1.872    0.627
 22  12.00    1.192    3.293    1.192
 23  12.50   -0.331    0.718   -0.331
 24  13.00    0.801    2.228    0.801
 25  13.50   -1.576    0.207   -1.576
 26  14.00    1.039    2.828    1.039
 27  14.50    0.216    1.241  -80.000
 28  15.00   -0.918    0.399   -0.918
 29  15.50    0.883    2.418    0.883