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The Quantity ε \varepsilon In the Simple Linear Regression Model Y=β0+β1x+εY = \beta _ { 0 } + \beta _ { 1 } x + \varepsilon

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The quantity ε \varepsilon
in the simple linear regression model Y=β0+β1x+εY = \beta _ { 0 } + \beta _ { 1 } x + \varepsilon is a random variable, assumed to be normally distributed with E(ε) =0 and V(ε) =σ2E ( \varepsilon ) = 0 \text { and } V ( \varepsilon ) = \sigma ^ { 2 } Based on 20 observations, if the residual sum of squares is 8, then the estimated standard deviation σ^\hat { \sigma } is


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