The following is a design matrix X, response vector Y and (XX) for a multiple linear...

 

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The following is a design matrix X, response vector Y and (XX) for a multiple linear regression 3.1 Find X'Y. 1 0 1 1 02 1 0 3 X = Y = 1 1 1 1 2 52 to 1 3 (x'x) 1.33 -0.33 0.67 -0.50 0.00 -0.33 -0.50 0.00 0.25 (2) 3.2 Calculate the least squares estimates of the model: y = Bo+Bx+2x2+e; for i = 1,..., n. 3.3 Calculate and interpret 95% CI for 1. (6) (10) The following is a design matrix X, response vector Y and (XX) for a multiple linear regression 3.1 Find X'Y. 1 0 1 1 02 1 0 3 X = Y = 1 1 1 1 2 52 to 1 3 (x'x) 1.33 -0.33 0.67 -0.50 0.00 -0.33 -0.50 0.00 0.25 (2) 3.2 Calculate the least squares estimates of the model: y = Bo+Bx+2x2+e; for i = 1,..., n. 3.3 Calculate and interpret 95% CI for 1. (6) (10)

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31 To find X you need to multiply the design matrix X by the response vector Y X XY X 101 102 103 11 ... View the full answer