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

question 56

Multiple Choice

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) \(y _ { i } = \frac { A _ { i } } { B _ { i } } x _ { i } + C _ { i }\)

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