dependent variable

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Dependent variable

Term used in regression analysis to represent the element or condition that is dependent on values of one or more other independent variables.
Copyright © 2012, Campbell R. Harvey. All Rights Reserved.

Dependent Variable

In technical analysis, a variable whose value is determined by the value of other variable(s), but plays no part in determining the value of those other variable(s). For example, if a product's price is determined by some equation involving the product's supply and its demand, the price is the dependent variable because the price does not affect the supply or demand.
Farlex Financial Dictionary. © 2012 Farlex, Inc. All Rights Reserved

dependent variable

A variable affected by another variable or by a certain event. For example, because a stock's price is affected by dividend payments, earnings projections, interest rates, and many other things, stock price is a dependent variable. Compare independent variable.
Wall Street Words: An A to Z Guide to Investment Terms for Today's Investor by David L. Scott. Copyright © 2003 by Houghton Mifflin Company. Published by Houghton Mifflin Company. All rights reserved. All rights reserved.

dependent variable

a variable that is affected by some other variable in a model. For example, the demand for a product (the dependent variable) will be influenced by its price (the INDEPENDENT VARIABLE). It is conventional to place the dependent variable on the left-hand side of an EQUATION. See DEMAND FUNCTION, SUPPLY FUNCTION.
Collins Dictionary of Economics, 4th ed. © C. Pass, B. Lowes, L. Davies 2005
References in periodicals archive ?
In order to test the hypothesis of this study uses a statistical software Eviews that have test the mathematical equation and will check the dependency of dependent variables over independent variables.
To address the research question and achieve the objective of the study, correlation and statistical linear regression analysis was done to predict the values of response variables (dependent variables: physico-chemical characteristics of SPM) through explanatory variables (independent variable: physico-chemical characteristics of inert matter/material/waste) [30].
The slope intercept form of a linear equation (y=mx+b) is the means by which to do this, where y is the predicted value of the dependent variable (net outlays), m is the slope of the line, x is the independent variable (POM w/OCO position), and b is the intercept of the line with the Y-axis.
Discriminant analysis is a multivariate technique which focuses on association between categorical dependent variables and multiple independent variables.
Regression between the independent variables (quality of service) and the dependent variable (behavior change) showed that there was a significant inverse correlation between these two variables.
The method of multiple regression is generalized through the theory of the "general linear model", in which there are more dependent variables simultaneously, as well as variables that are not independent from a linear point of view.
(2012) use logarithm of GDP as the dependent variable. Strictly speaking, they regress the change in the logarithm of GDP on the change in the logarithm of the resource measure, which is in effect the first differenced regression of logarithm of GDP on logarithm of the resource measure.
For example, a study would be considered to have neutral or mixed effects if a functional relationship were established between the independent and dependent variables with positive effects for two of four participants in an ABAB study, but no effects or negative effects were observed for the remaining participants.
Fundamentals of Financial Management, 12/E, Financial Times Press Table 2: Regression analysis, dependent variable: ROCA, n = 2493 Coefficient Std.
For the same reason, we will keep the dependent variables in their original units, rather than using log transformations.
The independent variables have a 76% effect on the dependent variable as shown by the R value of .76 which shows that up to 76% of the depend variable is caused by the independent variables.
The second way a lagged dependent variable "can suppress the explanatory power of other independent variables" (Achen 2001, 1) is that the lagged variable controls for the factors that made the dependent variable what it was in period t-1--the same factors that are impacting it in period t.

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