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    Consider the linear regression model

    Yi = BXi+ Ui

    where
    B= Beta
    i = 1,2 .....5
    Xi = 2i
    Yi = [1 2 3 3 4 ] ' (i.e a 5x1 vector)
    and Sigma ^2 = 1

    Compute the OLS Estimate of B .

    Can you work it out slowly, step by step, as I am having a hard time doing the problems in the book, and need a sample to look back at.

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    https://brainmass.com/math/basic-algebra/matrix-algebra-regression-estimation-100719

    Solution Preview

    Please see the attached file.

    Solution
    The given model can be written in matrix form as

    where Y= [1 2 3 3 4]' and X= [2 4 6 8 10]' and is a 1x1 vector (scalar), since it is given that Y¬¬i = ith element of the vector Y and Xi = 2*i , i = 1,2,3,4,5
    Now Y and X are 5x1 vectors and , ui is ...

    Solution Summary

    The solution explains how ordinary least square estimator is found.

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