In my textbook, the following results are proved in the context of SIMPLE linear regression:(adsbygoogle = window.adsbygoogle || []).push({});

∑e_i = 0

∑(e_i)(Y_i hat)= 0

I tried to modify the proofs to mutliple linear regression, but I am unable to do so, so I am puzzled...

Are these results also true in MULTIPLE linear regression?

Thanks!

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# Sum of the residuals in multiple linear regression

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