The Least-Squares Regression Model for One Explanatory Variable Is Given $\mathrm { y } _ { \mathrm { i } } = \beta _ { 0 } + \beta _ { 1 } \mathrm { x } _ { \mathrm { i } } + \varepsilon _ { \mathrm { i } }$

The least-squares regression model for one explanatory variable is given by the equation

A) $\mathrm { y } _ { \mathrm { i } } = \beta _ { 0 } + \beta _ { 1 } \mathrm { x } _ { \mathrm { i } } + \varepsilon _ { \mathrm { i } }$
B) $y = m x + b$
C) $y - y _ { i } = m \left( x - x _ { i } \right)$
D) $y _ { i } = \frac { A _ { i } } { B _ { i } } x _ { i } + C _ { i }$