Ononot — A data analyst fits a non-linear regression model of the for

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Data Visualizationmedium

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A data analyst fits a non-linear regression model of the form $y = \beta_0 + \beta_1 x^2 + \epsilon$ to a dataset. After fitting the model, a residual plot is generated, showing the residuals ( $e_i = y_i - \hat{y}_i$ ) against the independent variable $x_i$ . If this model is a good fit for the data, which of the following patterns should ideally be observed in the residual plot?