# 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.
Farlex Partner Medical Dictionary © Farlex 2012

## 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.
Medical Dictionary for the Health Professions and Nursing © Farlex 2012

## 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.
Collins Dictionary of Biology, 3rd ed. © W. G. Hale, V. A. Saunders, J. P. Margham 2005

## 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.
Medical Dictionary for the Dental Professions © Farlex 2012
References in periodicals archive ?
Upon examining research in premier finance journals, we find that the majority of studies employ OLS regression as the primary statistical inference technique.
OLS Regression Variable Beta T Pixar Studio 0.307 2.023 ** G Rating 0.095 0.698 Movie Run Time 0.305 1.968 * Comedy Genre -0.314 -1.911 * Family Genre -0.268 -1.639 Dependent variable: Adjusted Gross Earnings N = 50, [R.sup.2] = 0.318, Adjusted [R.sup.2] = 0.240, Model F (ANOVA) = 4.101 *** *** p < 0.01, ** p < 0.05, * p < 0.10 AUTHOR BIOGRAPHY
Furthermore, based upon the OLS regression results, the provision of access to credit and training were ineffective, or in fact lower the efficiency.
We employ different methods, including pooled OLS regression, FamaMacBeth regression, fixed effects regression, and random effects regression, to examine the determinants of cash holding.
Above table presents results of OLS regression relating Foreign Direct Investment (FDI) net inflows as a percentage of Gross Domestic Product (GDP) to regional trade agreements.
Different specification was made in OLS regression equation in which dependent variable is current GPA and the independent variables were randomly used.
The GWR technique is a direct extension of OLS regression, and in contrast to traditional global regression, it allows varying coefficients for the environmental predictors at different locations.
For the OLS regression model, we found that two coefficients changed from insignificant (p > .05) in the unweighted estimates (i) to significant (P <.
The parametric technique most familiar to cost estimators is OLS regression, which makes many assumptions about the distribution function and normality of error terms.
In the Heckman two-step model, the first step consists of a Probit regression for the selection function as shown in equation (3) below; the second step is an OLS regression, as shown in equation (4).
Second, a simple OLS regression is conducted to see whether teams improve their goal difference (goals scored minus goals conceded), as opposed to points obtained, when firing the coach.
Another advantage of quantile regression over OLS regression is that the quantile regression estimates are more robust against outliers in the response measurements, which gives it an edge when handling heteroskedasticity, skewness, and leptokurtosis in financial data.

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