The model $y = \beta _ { 0 } + \beta _ { 1 } x _ { 1 } + \beta _ { 2 } x _ { 2 }$ + $\varepsilon$ is referred to as a:
A) first-order model with one predictor variable.
B) first-order model with two predictor variables.
C) second-order model with one predictor variable.
D) second-order model with two predictor variables.

Question

Quizplus · Accepted Answer

The model includes two predictor variables, $x_1$ and $x_2$, and is linear in terms of these predictors, making it a first-order model with two predictor variables.

The Model y=β0+β1x1+β2x2y = \beta _ { 0 } + \beta _ { 1 } x _ { 1 } + \beta _ { 2 } x _ { 2 }y=β0​+β1​x1​+β2​x2​

The Model $y = \beta _ { 0 } + \beta _ { 1 } x _ { 1 } + \beta _ { 2 } x _ { 2 }$