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For the wire bond pull strength data, we find that R2 SSR SST 5990.7712 6105.9447 0.9811. Thus the model accounts for about 98% of the variability in the pull strength response (refer to the Minitab output in Table 12-4). The R2 statistic is somewhat problematic as a measure of the quality of the fit for a multiple regression model because it always increases when a variable is added to a model. To illustrate, consider the model fit to wire bond pull strength data in Example 11-8. This was a simple linear regression model with x1 wire length as the regressor. The value of R2 for this model is R2 0.9640. Therefore, adding xy die height to the model increases R2 by 0.9811 0.9640 0.0171, a very small amount. Since R2 always increases when a regressor is added, it can be difficult to judge whether the increase is telling us anything useful about the new regressor. It is particularly hard to interpret a small increase, such as observed in the pull strength data. Many regression users prefer to use an adjusted R2 statistic: SSE 1n SST 1n winforms barcode generator .NET Barcode Generator Library API for Windows & Web 1D & 2D ...
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