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Examine these next two scatterplots. This simple model is the line of best fit for our sample data. A forester needs to create a simple linear regression model to predict tree volume using diameter-at-breast height dbh for sugar maple trees. We want to partition the total variability into two parts: the variation due to the regression and the variation due to random error. Recall that when the residuals are normally distributed, they will follow a straight-line pattern, sloping upward. Each individual x, y pair is plotted as a single point. Examples of Negative Correlation Figure 7.

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