Modeling and Multivariate Methods - SAS

Chapter 3 Fitting Standard Least Squares Models 71
Estimates
Use the crosshair tool to approximate inverse prediction.
7. Select Tools > Crosshairs.
8. Click on the Oxy axis at about 50 and then drag the cursor so that the crosshairs intersect with the
prediction line.
Figure 3.10 Bivariate Fit for Fitness.jmp
Figure 3.10 shows which value of Runtime gives an Oxy value of 50, intersecting the Runtime axis at about
9.779, which is an approximate inverse prediction. However, to see the exact prediction of Runtime, use the
Fit Model dialog as follows:
1. From the Fitness.jmp sample data table, select Analyze > Fit Model.
2. Select Oxy and click Y.
3. Add Runtime as the single model effect.
4. Click Run.
5. From the red triangle menu next to Response Oxy, select Estimates > Inverse Prediction.
Figure 3.11 Inverse Prediction Given by the Fit Model Platform
6. Type the values for Oxy as shown in Figure 3.11.