Solutions Manual - Test Bank & Solution Manual
Now, Y is the last column of X, so the preceding sum is the vector of least squares coefficients in the regression of the last column of X on all of the columns of X, including the last. Of course, we get a perfect fit. In addition, X([Ed En + Es] is the last column of X(X, so the matrix product is equal to the last column of an identity matrix ... ................
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