Question: 1. Consider the multiple linear regression model in four predictor variables, that is, Yi = 0 + 1Xi1 + 2Xi2 + 3Xi3 + 4Xi4 +

1. Consider the multiple linear regression model in four predictor variables, that is, Yi = β0 + β1Xi1 + β2Xi2 + β3Xi3 + β4Xi4 + εi, i= 1, 2, . . . , 10 Use matrix notation to describe this model. Define the least-squares normal equations for this model. Assuming that X is a full-rank matrix, find the least-squares estimators for β.

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