# Macro Library Logistic

Logistic regression functions, Version 1, July 2019

- logisticregression
- logisticpredict
- logisticsolve

### logisticregression

logisticregression(x_array,y_array)

Fits a logistic curve to the data given in x_array and y_array. Returns an `array(a,b,c)`, which are the coefficients for the logistic curve `c / (1 + a e^(-b x))`. The values will be accurate to 4 or 5 significant digits, but likely will not exactly match regression preformed by other technology.

### logisticpredict

logisticpredict(coefficients, x)

Uses an array of coefficients, returned by logisticregression, to predict the output for the given x value.

### logisticsolve

logisticsolve(coefficients, y)

Uses an array of coefficients, returned by logisticregression, to solve for an input given a y value.