Consider the house price prediction problem from the lecture. Consider the following table of training data. Here x is area in hundred sq feet and y is the price in hundreds of thousands of dollars.

x y

1 2

2 3

4 6

5 7

• Compute J(0, 1) for the above data set.
• Compute J(1, 1) for the above data set.
• Compute J(1, 1.1) for the above data set.
• Based on the above, which of the three hypotheses would you choose for prediction and why?