regression analysis

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Related to regression analysis: linear regression, Multiple Regression Analysis

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.
References in periodicals archive ?
These cutting parameters were used as independent variables in the linear regression analysis. During cutting process five different values of laser power and cutting speed and three different values of assist gas pressure were used.
Therefore, in multiple regression analysis using explanatory variables as Rotation X and EOG elements for gaze estimation, it means estimating gaze considering sharing ratio.
For example, the linear regression analysis [1] assumes that
Like Larry Gonick's Cartoon Guide to Statistics, The Manga Guide to Regression Analysis similarly helps students grasp the meaning of R-squared, correlation coefficients, and null hypotheses -- terms that have proved to be the bane of many students' college careers.
From previous (and new) experiments, the data sets are arranged so as to fit the optimal curve by regression analysis; the BPNN is also trained to develop a knowledge database until the learning structure is robust.
In this section, we review the current methods which are ordinarily used for interval regression analysis. 2.1.
For predicting live weight of goats, multiple linear regression analysis is often applied to data regarding live weight-morphological linear traits (Adeyinka and Mohammed, 2006; Alade et al., 2009; Chitra et al., 2012).
Key Words: Factor analysis; Multiple linear regression analysis; Indigenous mengali sheep; Multicollinearity; Varimax rotation
The study met the primary endpoint, with the regression analysis indicating a highly statistically significant dose response.
Among the topics are the molecular evolution and breeding consequences of self-compatibility and its absence in Prunus fruit trees, marker-assisted breeding for resistance to common bacterial blight in common bean, joint regression analysis and completed joint regression analysis, breeding for reaction, genotype-by-environment interaction and selection of high yielding stable cultivars, and morphological differentiation of sepal and petal in Habenaria radiata (Orchidceae).

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