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Select HSS in the X variables list, then click the Remove button. |
This removes HSS from the model.
Click the Apply button. |
A new fit window appears, as shown in Figure 14.18.
Reposition the two fit windows so you can compare the two models. Notice that the adjusted R-square value has actually increased slightly from 0.1937 to 0.1943. Little explanatory power is lost by removing HSS. Notice that within this model the p-value for HSE is a modest 0.0820. You can remove HSE from the new fit window without creating a third fit window.
Select HSE in the second fit window. |
Choose Edit:Delete in the second fit window. |
This recomputes the second fit using only
HSM as an explanatory variable.
The adjusted R-square value drops only slightly to 0.1869. Removing HSE from the model also appears to have little effect. So, of the three explanatory variables you considered, only HSM appears to have strong explanatory power.
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