Ononot — If the model Y = \beta0 + \beta1 X + \epsilon is estimated,

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Linear Modelinghard

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If the model $Y = \beta_0 + \beta_1 X + \epsilon$ is estimated, but the true underlying relationship is non-linear (e.g., $Y = \beta_0 + \beta_1 X + \beta_2 X^2 + \epsilon$ ), which OLS assumption is violated?