In the Linear Regression Model$Y _ { i } = \beta _ { 0 } + \beta _ { 1 } X _ { i } + u _ { i } , \beta _ { 0 } + \beta _ { 1 } X _ { i }$

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The Answer of In the Linear Regression Model$Y _ { i } = \beta _ { 0 } + \beta _ { 1 } X _ { i } + u _ { i } , \beta _ { 0 } + \beta _ { 1 } X _ { i }$

In the Linear Regression Model $Y _ { i } = \beta _ { 0 } + \beta _ { 1 } X _ { i } + u _ { i } , \beta _ { 0 } + \beta _ { 1 } X _ { i }$

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In the Linear Regression Model Yi=β0+β1Xi+ui,β0+β1XiY _ { i } = \beta _ { 0 } + \beta _ { 1 } X _ { i } + u _ { i } , \beta _ { 0 } + \beta _ { 1 } X _ { i }Yi​=β0​+β1​Xi​+ui​,β0​+β1​Xi​

Definitions:

In the Linear Regression Model $Y _ { i } = \beta _ { 0 } + \beta _ { 1 } X _ { i } + u _ { i } , \beta _ { 0 } + \beta _ { 1 } X _ { i }$