To find the residual of the data point \((4, 14.59)\), we need to follow these steps:
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Identify the observed value (y): The observed value from the data point is \(y = 14.59\).
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Determine the predicted value (\(\hat{y}\)): This value is obtained from the line that is drawn through the points. Since the image is not provided, let's assume you have the equation of the line that fits those points. Let’s denote the equation of the line by \(y = mx + b\), where \(m\) is the slope and \(b\) is the y-intercept. You would substitute \(x = 4\) into this equation to find \(\hat{y}\).
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Calculate the residual: The residual is calculated using the formula: \[ \text{Residual} = \text{Observed value} - \text{Predicted value} \] or \[ \text{Residual} = y - \hat{y} \]
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Round off: Finally, round the residual to the nearest thousandth, as required.
Since the equation of the line is not available, I can't provide the numerical values. If you can provide the equation or the predicted value when substituting \(x=4\), I can help you calculate the residual!