The model $\tilde { y } = \beta _ { 0 } + \beta _ { 1 } x _ { 1 } + \beta _ { 2 } x _ { 2 }$ is used whenever the statistician believes that,on average,y is linearly related to x₁ and x₂ and the predictor variables do not interact.

Question

Quizplus · Accepted Answer

This statement is true. The model assumes a linear relationship between the response variable y and the predictor variables x1 and x2, and does not allow for interactions between the two predictors.

The Model y~=β0+β1x1+β2x2\tilde { y } = \beta _ { 0 } + \beta _ { 1 } x _ { 1 } + \beta _ { 2 } x _ { 2 }y~​=β0​+β1​x1​+β2​x2​

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