Train linear regression and comput train error (m = 1 to 12) and cross validation error.

coursera-stanford-machine-learning-class-week6-compute-train-linear-regression-and-compute-error.m

% Octave console output
Iteration     3 | Cost: 9.860761e-32
Iteration     2 | Cost: 3.286595e+00
Iteration    28 | Cost: 2.842678e+00
Iteration    24 | Cost: 1.315405e+01
Iteration    27 | Cost: 1.944396e+01
Iteration    13 | Cost: 2.009852e+01
Iteration    30 | Cost: 1.817286e+01
Iteration    11 | Cost: 2.260941e+01
Iteration    33 | Cost: 2.326146e+01
Iteration    10 | Cost: 2.431725e+01
Iteration     2 | Cost: 2.237391e+01
# Training Examples	Train Error	Cross Validation Error
  	1		0.000000	210.522449
  	2		0.000000	110.300366
  	3		3.286595	45.010231
  	4		2.842678	48.368911
  	5		13.154049	35.865165
  	6		19.443963	33.829962
  	7		20.098522	31.970986
  	8		18.172859	30.862446
  	9		22.609405	31.135998
  	10		23.261462	28.936207
  	11		24.317250	29.551432
  	12		22.373906	29.433818