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Direct linkLipovetsky, S. – International Journal of Mathematical Education in Science and Technology, 2007
The dependent variable in a regular linear regression is a numerical variable, and in a logistic regression it is a binary or categorical variable. In these models the dependent variable has varying values. However, there are problems yielding an identity output of a constant value which can also be modelled in a linear or logistic regression with…
Descriptors: Chemistry, Regression (Statistics), Models, Comparative Analysis
