(Choose 1 answer)
A. 0.46982
B. -0.26531
C. -0.46982
Suppose m = 4 students have taken some class, and the class had a midterm exam and a final
exam. You have collected a dataset of their scores on the two exams, which is as follows:
midterm exam
(midterm exam)-
final exam
96
89
7921
5184
74
72
8836
87
94
69
4761
78
You'd like to use polynomial regression to predict a student's final exam score from their midterm exam score. Concretely, suppose you want to fit a model of the form ha(x) = 00 + θιχι + 02.02.where x is the midterm score and x2 is (midterm score). Further, you plan to use both feature scaling (dividing by the "max-min", or range, of a feature) and mean normalization.What is the normalized featurex? (Hint: midterm = 89, final = 96 is training example 1.)
E27
