Question: In the k-variable linear regression model there are k normal equations to estimate the k unknowns. These normal equations are given in Appendix C. Assume

In the k-variable linear regression model there are k normal equations to estimate the k unknowns. These normal equations are given in Appendix C. Assume that X_k is a perfect linear combination of the remaining X variables. How would you show that in this case it is impossible to estimate the k regression coefficients?

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