Regressions with Discrete Dependent Variables: The Effect on R <sup>2</sup>
Journal of Marketing ResearchPublished 1 August 1972
Donald G. Morrison
Citations27
SJR quartileQ1
SJR score6.96
SNIP2.42
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Abstract
0.5 to 7.5. Whenever it falls in the range 0.5 to 1.5, the subject checks Level 1; from 1.5 to 2.5, he checks Level 2, and so on. This procedure gives a perfect scaling technique. The assumption of a perfect model is merely that when the true attribute has a value x (anywhere in the continuum from 0.5 to 7.5), the model predicts this same value. The question is now very simple, since correlation between the true attribute value and the predicted value has been defined as 1.0. However, what
Keywords
Computer Science
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