JMP 13.2 Online Documentation (English)
Discovering JMP
Using JMP
Basic Analysis
Essential Graphing
Profilers
Design of Experiments Guide
Fitting Linear Models
Predictive and Specialized Modeling
Multivariate Methods
Quality and Process Methods
Reliability and Survival Methods
Consumer Research
Scripting Guide
JSL Syntax Reference
JMP iPad Help
JMP Interactive HTML
Capabilities Index
JMP 12 Online Documentation
Fitting Linear Models
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Generalized Regression Models
•
Model Fit Reports
• Effect Tests
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Effect Tests
The Effect Tests report gives the following information:
Source
A list of the effects in the model.
Nparm
The number of parameters associated with the effect.
DF
The degrees of freedom for the Wald ChiSquare test. This is the number of nonzero parameter estimates associated with the effect in the model.
Wald ChiSquare
The ChiSquare value for a Wald test of whether all parameters associated with the effect are zero.
Prob > ChiSquare
The
p
-value for the Wald ChiSquare test.
The following columns appear in the report in place of Wald ChiSquare and Prob > ChiSquare when the Distribution is Normal and there is no penalty in the estimation method:
Sum of Squares
The sum of squares for the hypothesis that the effect is zero.
F Ratio
The F statistic for testing that the effect is zero. The F Ratio is the ratio of the mean square for the effect divided by the mean square for error. The mean square for the effect is the sum of squares for the effect divided by its degrees of freedom.
Prob > F
The
p
-value for the effect test.
If the coefficient for an effect has been estimated as zero, then:
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If the effect has one degree of freedom, the word “Removed” appears at the far right in the row for that effect.
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If the effect has multiple degrees of freedom, the phrase “Levels removed” appears, followed by the number of levels that correspond to terms with parameter estimates of zero.
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Help created on 9/19/2017