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This is the question of regression analysis. Thank you so much. 2)...

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2) We have been finding a set of optimal parameters for the linear least-squares regression minimization problem by identifying critical points, i.e. points at which the gradient of a function is the zero vector, of the following function: F(ao, wan) = mm + a1xn1 + + '1wa - an. Help to justify this methodology in the following way. Letting G: R" —» IR be any function that is differentiable everywhere, show that, if G has a local minimum at a point x0, then its gradient is the zero vector there, i.e., V6070) = 0.

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This is the question of regression analysis. Thank you so much.

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