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User Guide: Contents Page Index of Functions

| # Logistic Regression
Professional Edition Only. Logistic regression (sometimes referred to as sigmoid regression) fits an s-shaped curve to the data, and determines three coefficients, according to: y = A / (1 + B.eC.x) An example of a logistic curve fit is shown below. In statistical analysis, the logistic curve is sometimes described by the formula: P = 1 / (1 + e-(j+kx)) where P is a probability value between 0 and 1 The following relations can be used to translate the coefficients used in DreamCalc: P = y/A j = -ln(B) k = -C See also: Statistical Modes & List Data, Statistical Functions |