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15:50
YouTube
statisticsmatt
Simple Linear Regression: Estimating the Residual Variance
One of the standard assumptions in SLR is: Var(error)=sigma^2. In this video we derive an unbiased estimator for the residual variance sigma^2. Note: around 5:00, I mistakenly say the dividing by n over estimates the residual variance. I should have said that dividing by n under estimates the residual variance. The point is that it is a biased ...
6.4K views
Jun 17, 2020
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