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

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

The Model =β0+β1x1+β2x2=\beta_{0}+\beta_{1} x_{1}+\beta_{2} x_{2}=β0​+β1​x1​+β2​x2​ Is Used Whenever the Statistician Believes That, on Average

The Model $=\beta_{0}+\beta_{1} x_{1}+\beta_{2} x_{2}$ Is Used Whenever the Statistician Believes That, on Average