You have a data matrix X = Rnxd where each row corresponds to a student and each column corresponds to their grade on an assignment. The final column is their cumulative grade. All grades are numerical values. Give an upper bound on the rank of this matrix. Do you think it is well approximated by an even lower rank matrix? Why or why not?

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Q: * (t) = 1 + cos (6πt + T ) 풍 |--100 ans: F(W) = 2π S(W)+T=² ~ [S(W-(T) + 8(w+Kx)}

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