DMFitter ActiveX control allows you to add sophisticated regression analysis tools to your software in a few lines of code. Features include: both linear and nonlinear (Levenberg-Marquardt) least squares curve fitting algorithms, arbitrary user models (defined analytically or by string expressions), event support, weighting. Examples for Excel, VB, Delphi, MSIE, Data Master 2003 and scripting languages are included.

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The selection of components to generate two dimensional Cartesian plots with: unlimited number of axis (secondary axis) manifold options for scaling, grids, legends, automatic scaling, automatic zooming, unlimited number of series, manifold line and point styles, calculated Regression Lines, Interpolation, Differential and Integral, supporting components for editing and styles selection

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Performs linear regression using the Least Squares method. Determines the regression coefficients, the generalized correlation coefficient and the standard error of estimate. Does multivariate regression. Displays 2D and 3D plots.

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non-linear, polynomial, multivariate). Another finds the minimum of a multi-variate expression. Others solve triangles, or find roots of polynomials up to tenth order, or solve simultaneous linear or non-linear equations. UltimaCalc includes logarithms to base 2, two-argument inverse tangent, greatest common divisor. Also floor and ceiling functions, absolute value, min, max, extract the fractional part of a number, find the value for which an expression

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nonical), Linear and Circular Descriptive Statistics, Classification and Grouping Discriminant Analysis, Factor Analysis, Goodness of Fit Tests such as Binomial, Circular, Normal and Poisson, Simple and Multiple Linear Regression, Regression Comparison, Nonparametric Tests such as Friedman, Kruskal-Wallis and Mann-Whitney, Principal Component Analysis, Univariate and Multivariate t-Tests. statistiXL also produces a wide range of plots including Box

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The Multiple Regression Analysis and Forecasting model provides a solid basis for identifying value drivers and forecasting business plan data. While it utilises a range of commonly employed statistical measures to test the validity of the analysis, results are summarized in text for ease of use. Once relationships have been identified, forecasting can be accomplished based on a range of available methodologies.

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