Question: Using the least squares criterion for the simple linear regression model, one can derive the normal equations to be: n 2(Y Bo - BX;)(1)

Using the least squares criterion for the simple linear regression model, one

Using the least squares criterion for the simple linear regression model, one can derive the normal equations to be: n 2(Y Bo - BX;)(1) = 0 i=1 n 2(Yi - Bo - BX;)(X;) = 0. i=1 Solve these equations for Bo=Y - BX and B = (Xi-X)(Yi-Y) (Xi-X) the least squares estimators of Bo and B, respectively. 1

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