Multiple regression

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Multiple regression

The estimated relationship between a dependent variable and more than one explanatory variable.
Copyright © 2012, Campbell R. Harvey. All Rights Reserved.

Multiple Regression

In statistics, an equation showing the value of a dependent variable as a function of two or more independent variables. As with regression analysis, multiple regression analysis is important for determining certain economic phenomena.
Farlex Financial Dictionary. © 2012 Farlex, Inc. All Rights Reserved
References in periodicals archive ?
Some market participants may value a given class of property by using multiple regression analysis; for example, Fannie Mae and automated valuation models.
We assessed the correlation between the results of the multiple regression analysis and the 4 risk factors for metabolic syndrome.
Kong, "Development of the deterioration models for the port structures by the multiple regression analysis and markov chain," Journal of the Computational Structural Engineering Institute of Korea, vol.
DC is known to have a linear relation [26-28] to the eyeball angle, so we performed a multiple regression analysis with the explanatory variables AC, DC, DC integral value (DC_Int), and DC difference (DC_Dif).
The results of step wise multiple regression analysis indicate that person positive stress (4.1% of variance, [F.sub.1,208] =8.785, p<.002) and individualism-collectivism (4.7% of variance, [F.sub.1,207] =9.692, P<.000) were found significant important predictors of satisfaction total.
Multiple Regression Analysis on Courses with Cognitive Domain to Employability.
The multiple regression analysis of the whole study sample in the phase 1 presents in the Table 4.
Multiple regression analysis is widely used in research and is supposed to be particularly useful in strategic co-alignment or strategic fit research (Venkatraman & Prescott, 1990).
One of the most effective methods to remove the problem is to use factor analysis scores for multiple regression analysis in different species as reported by many authors (Keskin et al., 2007a, b; Cankaya et al., 2009; Eyduran et al., 2009; Ogah et al., 2009; Sangun et al., 2009; Yakubu, 2009; Eyduran et al., 2010).
Readers are assumed to be advanced graduate students and postgraduate researchers with graduate-level training in applied statistical methods including multiple regression analysis and at least basic factor analysis.
Multiple regression analysis showed that serum testosterone levels were not affected by treatment with Maca at any of the times studied (P, not significant).

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