Question: 2. (Linear regression) Recall in linear regression, we have data pairs (X1,y1),(Xn,Yn) and we solve the following objective: ^+argRvminXY22. Here X,Y are the compact form

 2. (Linear regression) Recall in linear regression, we have data pairs

2. (Linear regression) Recall in linear regression, we have data pairs (X1,y1),(Xn,Yn) and we solve the following objective: ^+argRvminXY22. Here X,Y are the compact form to represent the data: XRnp with its i-th row vector to be Xi. and Y is a vector where its i-th coordinate is Yi=yi. (a) (6') Solve ^. (You should represent ^ in the form of X and Y.) (b) (10) Recall the standard model (with fixed design): Y=X+ E, where N(0,2I), is the ground-truth model, and X is considered as fixed. Calculate the following excess risk of the learned model ^: ER(^)=n1EX^X22. Hint: You may want to use the fact that Tr(AB)=Tr(BA). You msy assume XX is full rank

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