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Modeling and Multivariate Methods - SAS

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322 Recursively Partitioning Data Chapter 13<br />

Partition Method<br />

Figure 13.6 Second Split<br />

The 430 observations from the previous left leaf are now split into two parts:<br />

• A left leaf, corresponding to lstat ≥ 14.43, has 175 observations.<br />

• A right leaf, corresponding to lstat < 14.43, has 255 observations.<br />

The 506 original observations are now split into three parts:<br />

• A leaf corresponding to rooms < 6.943 <strong>and</strong> lstat ≥ 14.43.<br />

• A leaf corresponding to rooms < 6.943 <strong>and</strong> lstat < 14.43.<br />

• A leaf corresponding to rooms ≥ 6.943.<br />

The predicted value for the observations in each leaf is the average response. The plot is divided into three<br />

sections, corresponding to the three leafs. These predicted values are shown on the plot with black lines. The<br />

points are put into r<strong>and</strong>om horizontal positions in each section. The vertical position is based on the<br />

response.

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