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Question
what does a residual value of -0.8 mean in reference to the line of best fit? the given point is 0.8 units above the line of best fit. the given point is 0.8 units below the line of best fit. the line of best fit is not appropriate to the data. the line of best fit has a slope of 0.8.
A residual is calculated as \( \text{Residual}=\text{Observed value}-\text{Predicted value}\). A negative residual (\(- 0.8\)) means the observed value is less than the predicted value (from the line of best fit). So the point is below the line of best fit. The magnitude of the residual (\(0.8\)) gives the distance.
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The given point is \(0.8\) units below the line of best fit.