regression analysis

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re·gres·sion a·nal·y·sis

the statistical method of finding the "best" mathematical model to describe one variable as a function of another.

re·gres·sion a·nal·y·sis

(rĕ-greshŭn ă-nali-sis)
The statistical method of finding the "best" mathematic model to describe one variable as a function of another.

regression analysis

(in statistics) a test in which the size of one variable (the dependent variable) is dependent on another (the independent variable). Often the relationship is a linear one, enabling a line of best fit to be drawn on a SCATTER DIAGRAM.

re·gres·sion a·nal·y·sis

(rĕ-greshŭn ă-nali-sis)
The statistical method of finding the "best" mathematic model to describe one variable as a function of another.
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References in periodicals archive ?
In this paper, we have proposed an efficient hierarchical genetic algorithm to tackle the automatic curve fitting problem. The method introduces a novel hierarchical gene structure for the chromosomal representation that permits the optimization of all free degrees of a linear model based on RBFs.
Automatic Curve Fitting Based on Radial Basis Functions and a Hierarchical Genetic Algorithm
Some basic mathematical concepts and definitions and the curve fitting problem from noisy data points with rational Bezier curves are described in Section 3.
Two Simulated Annealing Optimization Schemas for Rational Bezier Curve Fitting in the Presence of Noise
A solution to the curve fitting problem will provide a method of this sort.
How to tell when simpler, more unified, or less ad hoc theories will provide more accurate predictions

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