The simple linear regression model is $Y = \beta _ { 0 } + \beta _ { 1 } x + \varepsilon , \text { where the quantity } \varepsilon$ is a random variable assumed to be __________ distributed, with $E (\varepsilon ) =$$\underline{\quad\quad}$and $V ( \varepsilon ) =$$\underline{\quad\quad}$

Question

The simple linear regression model is $Y = \beta _ { 0 } + \beta _ { 1 } x + \varepsilon , \text { where the quantity } \varepsilon$ is a random variable assumed to be __________ distributed, with $E  (\varepsilon ) =$$\underline{\quad\quad}$and $V ( \varepsilon ) =$$\underline{\quad\quad}$

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The Answer of The simple linear regression model is $Y = \beta _ { 0 } + \beta _ { 1 } x + \varepsilon , \text { where the quantity } \varepsilon$ is a random variable assumed to be __________ distributed, with $E  (\varepsilon ) =$$\underline{\quad\quad}$and $V ( \varepsilon ) =$$\underline{\quad\quad}$

The Simple Linear Regression Model Is Y=β0+β1x+ε, where the quantity εY = \beta _ { 0 } + \beta _ { 1 } x + \varepsilon , \text { where the quantity } \varepsilonY=β0​+β1​x+ε, where the quantity ε

The Simple Linear Regression Model Is $Y = \beta _ { 0 } + \beta _ { 1 } x + \varepsilon , \text { where the quantity } \varepsilon$