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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
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