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If Sx,y=562.3,V(x)=53.4, and n=20S _ { x, y } = 562.3 , V ( x ) = 53.4 , \text { and } n = 20

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If Sx,y=562.3,V(x)=53.4, and n=20S _ { x, y } = 562.3 , V ( x ) = 53.4 , \text { and } n = 20 then the least squares estimate of the slope coefficient β1\beta _ { 1 } of the true regression line y=β0+β1x is β^1y = \beta _ { 0 } + \beta _ { 1 } x \text { is } \hat { \beta } _ { 1 } = __________.

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