Least Square Estimators - Explaining and deriving

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While you will likely never be asked to show the proof for the least squared estimators for the simple linear regression model, I do think that there is value in having seen the proof. In this video I explain the logic behind why we minimize the sum of the squared residuals, and provide the derivation for the estimators.

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This series is teaching me everything that my professor failed to teach leading up to our first big exam- so clear and each video builds on the last!!

nataliamora
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15:27 on defferentiating wrt b1 ... I think the second component will contain a minus sign i.e -(xi-xbar)

shahbazahmad
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I don't understand why you simplified at 19:20

kaolompp