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

True/False

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.