Regression Analysis - DataFitting 1.7
Regression Analysis - DataFitting - DataFitting is a powerful statistical analysis program that performs linear and nonlinear regression
analysis (i.e. curve fitting). DataFitting determines the values of parameters for an equation,
whose form you specify, that cause the equation to best fit a set of data values. DataFitting can
handle linear, polynomial, exponential, and general nonlinear functions.
DataFitting
performs true nonlinear regression analysis, it does not transform the function into a linear form.
As a result, it can handle functions that are impossible to linearize such as:
y = (a -
c) * exp(-b * x) + c
Quickly Find the Best Equations that Describe Your Data:
DataFitting gives students, teachers, engineers, researchers and other professionals the power to
find the ideal model for even the most complex data, by putting a large number of equations at their
fingertips. It has built-in library that includes a wide array of linear and nonlinear models from
simple linear equations to high order polynomials.
Graphically Review Curve Fit
Results:
Once your data have been fit, DataFitting automatically sorts and plots the fitted
equations by the statistical criteria of Standard Error. You can preview your graph and output
publication-quality graphs in several different configurations. A residual graph as well as
parameter output is generated for the selected fitted equation. Data, statistical and numeric
summaries are also available from within the report-panel.
DataFitting has the following
capabilities:
* A 38-digit precision math emulator for properly fitting high order polynomials
and rationals.
* A robust fitting capability for nonlinear fitting that effectively copes with
outliers and a wide dynamic Y data range.
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