Which of the Following Statements Is True Regarding the Simple $y _ { i } = \beta _ { 0 } + \beta _ { 1 } x _ { i } + \epsilon _ { 1 } ?$

Which of the following statements is true regarding the simple linear regression model $y _ { i } = \beta _ { 0 } + \beta _ { 1 } x _ { i } + \epsilon _ { 1 } ?$

A) is a value of the dependent variable (y) and x_i is a value of the independent variable (x) .
B) $\beta$ ₀ is the y-intercept of the regression line.
C) $\beta$ ₁ is the slope of the regression line.
D) $\epsilon$ ₁ is a random error,or residual.
E) All of the above are true statements.