More Information

Pre-Defined and User-Defined Curve Fitting

Regressions Concerning Two Continuous Variables (Pre-Defined)

The regression methods grouped under this title either deal with finding the relationship between one outcome (dependent) variable and one predictor (independent) variable, or finding the relationship between two variables where the designation of dependent and independent variables is irrelevant. You can choose between 8 different methods (see the first 8 methods outlined below).

    • Linear (X on Y)
    • Linear (thru zero)
    • Major axis
    • Reduced major axis
    • Polynomial
    • Exponential
    • Logarithmic
    • Power
  • Performing curve fitting on an existing chart displays the fitted curve and the regression equation(s).
  • Performing regression analysis from the Stats Analyzer provides the options of (a) displaying the X-Y plot and the defined regression curve together with the regression parameters and an ANOVA report (if applicable) in a table format displayed on the viewer page, and (b) storing the results of the analysis (i.e., the observed and predicted sequences) in an auto-generated worksheet.

Cubic Spline Interpolation

A cubic spline is made from piece-wise third-order polynomials that pass through the control points provided.

User-Defined Non-Linear Regression

The user-defined regression uses Levenberg-Marquardt "full Newton-type" method.