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Basic Analysis and Graphing - SAS

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Chapter 9 Bootstrapping 249<br />

Example of Bootstrapping<br />

Example of Bootstrapping<br />

A tire manufacturer wants to predict an engine’s horsepower from the engine’s displacement (in 3 ). The<br />

company is most interested in estimating the slope of the relationship between the variables. The slope<br />

values help the company predict the corresponding change in horsepower when the displacement changes.<br />

1. Open the Car Physical Data.jmp sample data table.<br />

2. Select Analyze > Fit Y by X.<br />

3. Assign Horsepower to the Y, Response role.<br />

4. Assign Displacement to the X, Factor role.<br />

5. Click OK.<br />

6. Select Fit Line from the Bivariate Fit red triangle menu.<br />

7. In the Parameter Estimates report, right-click the Estimate column <strong>and</strong> select Bootstrap<br />

(Figure 9.2).<br />

Figure 9.2 Select the Bootstrap Option<br />

The column that you right-click is relevant when the Split Selected Column option is selected. For<br />

more information, see “Bootstrap Window Options” on page 251.<br />

8. Type 1000 for the Number of Bootstrap Samples.<br />

9. Select Fractional Weights. Leave the Split Selected Column option selected.<br />

10. Click OK.<br />

The bootstrap process runs <strong>and</strong> produces two tables.<br />

Next, analyze the bootstrapped slope.<br />

11. Click on the table with the unstacked results for the slope <strong>and</strong> intercept, the table with 1,001 rows.<br />

Figure 9.3 shows part of the table.

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