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.

Logistic Regression

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