Regstats model equation
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The function regstats returns beta coefficients for a model of responses y from predictors x. For a quadratic model with one predictor, the model is simple:
b(1)*constant + b(2)*x + b(3)*x^2
(in that order, where b = stats.beta). However, as the number of predictors increases, it's not clear what order the beta coefficients are applied to the model. The model I'm interested in, for example, is quadratic with 3 predictor vectors, generating 10 beta coefficients. I can guess at what the model expansion would be, but is there any documentation on this (I couldn't find any)? Many thanks in advance!
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Wayne King
2011-10-12
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Hi Dave, you can use x2fx() to figure out what order your terms appear in.
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2011-10-12
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