Which of the following is the complete definition of the simple linear regression model?
A $Y = \beta_0 + X + \epsilon$, where $\epsilon$ has a $N(0, \sigma)$ distribution.
B $Y = \beta_0 + \beta_1 X$
C $Y = \beta_0 + \beta_1 X + \epsilon$, where $\epsilon$ has a $N(0, \sigma)$ distribution.
D $Y = \beta_1 X + \epsilon$, where $\epsilon$ has a $N(0, \sigma)$ distribution.
E $Y = \beta_0^{\beta_1 X} + \epsilon$, where $\epsilon$ has a $N(0, \sigma)$ distribution.
