quartz/content/vault/tech/Bivariate (simple) Regression Estimation.md
2022-06-07 16:56:28 -06:00

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Model: $$y_i+\beta_0+\beta_ix_i+\epsilon_i$$$$E[\epsilon_i|x]=0$$$$E[\epsilon]$$ data: !Excalidraw/Drawing 2021-09-01 15.04.21.excalidraw.md regression estimation: choose line that best fits data arg

(\hat{b_o},\hat{b_1})=arg \min_{b_0,b_1}\sum_{=1}^{n}{(y_i+(b_0+b_1x_i)^2)}