AIL302m_-_RE_-_SU_2023_595.webp
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AIL302m_-_RE_-_SU_2023_595.webp

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(Choose 1 answer)
A. 6
B 1
C. 4
D. 2
Consider the problem of predicting how well a student does in her second year of college/university, given how well they did in their first year. Specifically, let x be equal to the number of "A" grades (including A-. A and A+ grades) that a student receives in their first year of college (freshmen year). We would like to predict the value of y, which we define as the number of "A" grades they get in their second year (sophomore year).
Questions 1 through 4 will use the following training set of a small sample of different students'performances. Here each row is one training example. Recall that in linear regression, our hypothesis is he(x) = 0 + 01.x, and we use to denote the number of training examples.
y
2
3
1
2
1
3
0
4
For the training set given above, what is the value of m?

E12

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