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Logarithmic Regression. The logarithmic regression option finds the equation of a logarithmic equation of the form y = a + b ln x that best fits a set of data. First, enter the data . Press . The values of x must be greater than zero.
I Diï¬erence: I Linear regression on indicator matrix: approximate. Pr(G = k |X = x) by a linear function of x. Pr(G = k |X = x) is not guaranteed to fall between 0 and 1. and to sum up to 1. I Logistic regression: Pr(G = k |X = x) is a nonlinear function. of x. It is guaranteed to range from 0 to 1 and to sum up to 1.