Whole Model Tests and Analysis of Variance Reports | JMP 13.2

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Design of Experiments Guide • Mixture Designs • Fitting Mixture Designs • Whole Model Tests and Analysis of Variance Reports

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Whole Model Tests and Analysis of Variance Reports

In a whole-model Analysis of Variance table, JMP traditionally tests that all the parameters are zero except for the intercept. In a mixture model without an intercept, JMP looks for a hidden intercept, in the sense that a linear combination of effects is a constant. If it finds a hidden intercept, it does the whole model test with respect to the intercept model rather than a zero-intercept model. This test is equivalent to testing that all the parameters are zero except the linear parameters, and testing that they are equal.

The hidden-intercept property also causes the R2 to be reported with respect to the intercept model rather than reported as missing.

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Help created on 9/19/2017