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JMP 12 Fitting Linear Models by SAS Institute

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The Response Models
JMP fits linear models to three different kinds of responses: continuous, nominal, and ordinal. The models and methods available in JMP are practical, are widely used, and suit the need for a general approach in a statistical software tool. As with all statistical software, you are responsible for learning the assumptions of the models you choose to use, and the consequences if the assumptions are not met. For more information see “The Usual Assumptions” in this chapter.
Continuous Responses
When the response column (column assigned the Y role) is continuous, JMP fits the value of the response directly. The basic model is that for each observation,
Y = (some function of the X’s and parameters) + error
Statistical tests are ...

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