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19 januari namiddag

  1. What is the rationale behind the objective function in a typical regression problem? How do we call the best estimates in accordance with this rationale?

  2. Starting from this objective function, derive the expression for the best parameter model which is linear in the parameters and where the error is distributed according to the conventional assumptions.

  3. Briefly sketch how the objective function changes when these objectives are no longer met.