Understanding the Programming Challenges of Coursera Machine Learning: warning:opengl_render:data values greater than float capacity

Loading data...
First 10 examples from the dataset:
 x = [21043], y = 399900
 x = [16003], y = 329900
 x = [24003], y = 369000
 x = [14162], y = 232000
 x = [30004], y = 539900
 x = [19854], y = 299900
 x = [15343], y = 314900
 x = [14273], y = 198999
 x = [13803], y = 212000
 x = [14943], y = 242500
Program pause.Press enter to continue.
Normalizing Features...
Running gradient descent...
Theta computed from gradient descent:
 NaN
 NaN
 NaN

Predicted price of a 1650 sq-ft, 3br house (using gradient descent):
 $0.000000
Program pause.Press enter to continue.
warning:opengl_render:data values greater than float capacity.(1) Scaleda
ta, or (2) Use gnuplot
warning —Called from
    ex1_multi at line 117 column1
Solving with normal equations...
Theta computed from the normal equations:
 89597.909541
 139.210674
 -8738.019112

Predicted price of a 1650 sq-ft, 3br house (using normal equations):
 $0.000000