This problem deals with linear regression. Consider the following data set, the input variable (first column) indicates the amount spent by an individual on internet service and the output variable (second column) indicates the degree of satisfaction with his/her internet service. Time Spent Satisfaction Degree
11 6
18 8
17 10
15 4
9 9
5 6
12 3
19 5
22 2
25 10

We are interested in computing the squared loss (as discussed in class) for a given weight vector. We assume that the first component of the weight vector corresponds to the bias/intercept term. If the weights are:

• w = (0, 1)

What will be the squared loss for the above data set?

a. 599.
b. 46.
c. 92.0
d. 1198.0