dependent variable

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dependent variable

1. Mathematics A mathematical variable whose value is determined by the value assumed by an independent variable.
2. Statistics The observed variable in an experiment or study whose changes are determined by the presence or degree of one or more independent variables.
American Heritage® Dictionary of the English Language, Fifth Edition. Copyright © 2016 by Houghton Mifflin Harcourt Publishing Company. Published by Houghton Mifflin Harcourt Publishing Company. All rights reserved.

dependent variable

1. (Mathematics) a variable in a mathematical equation or statement whose value depends on that taken on by the independent variable: in "y = f(x)", "y" is the dependent variable.
2. (Psychology) psychol statistics the variable measured by the experimenter. It is controlled by the value of the independent variable, of which it is an index
Collins English Dictionary – Complete and Unabridged, 12th Edition 2014 © HarperCollins Publishers 1991, 1994, 1998, 2000, 2003, 2006, 2007, 2009, 2011, 2014

depend′ent var′iable

a variable in a functional relation whose value is determined by the values assumed by other variables in the relation, as y in the relation y= 3x2.
Random House Kernerman Webster's College Dictionary, © 2010 K Dictionaries Ltd. Copyright 2005, 1997, 1991 by Random House, Inc. All rights reserved.

de·pen·dent variable

In mathematics, a variable whose value is determined by the value of an independent variable. For example, in the function y = x + 5, y is the dependent variable because its value is determined by the value of x.
The American Heritage® Student Science Dictionary, Second Edition. Copyright © 2014 by Houghton Mifflin Harcourt Publishing Company. Published by Houghton Mifflin Harcourt Publishing Company. All rights reserved.
ThesaurusAntonymsRelated WordsSynonymsLegend:
Noun1.dependent variable - (statistics) a variable in a logical or mathematical expression whose value depends on the independent variable; "if f(x)=y, y is the dependent variable"
variable quantity, variable - a quantity that can assume any of a set of values
statistics - a branch of applied mathematics concerned with the collection and interpretation of quantitative data and the use of probability theory to estimate population parameters
Based on WordNet 3.0, Farlex clipart collection. © 2003-2012 Princeton University, Farlex Inc.
References in periodicals archive ?
The research use debt level and debt maturity as an independent variable and firm investment behavior as a dependent variable. They use regression for test the variables and the result shows that level of debt is expressively negative impact on firm investment but the maturity of debt is irrelevantly to investment rate.
In the article quoted by the reader, 'Depression among university students in Kenya: prevalence and socio demographic correlates' depression was the dependent variable and it was compared with socio demographics and other various variables.4 On the contrary as stated above, academic performance was our dependent variable and not depression.
Mean values for our dependent variables are included in the regression tables.
They are called dependent variables: variables that affect the income directly.
From correlation an index describing the linear relationship between two variables can be obtained; while in regression the relationship between the variables can be predicted and can be used to predict dependent variable from the independent variable.
Our dependent variable (i.e., net outlays) is taken from the General Fund financial statements.
Moreover, although it is possible to obtain elasticities from OLS with a large number of zeros in the dependent variable, it is not conventional to do so.
Our dependent variable includes data for 2000 to allow for a lagged dependent variable throughout the sample.
However, linear regression is limited to use when continuous dependent variable while DA can deals with predicting categorical dependent variables with more than two categories of dependent variables.
Regression between the independent variables (quality of service) and the dependent variable (customer satisfaction) shows that there is significant positive correlation between these two variables.
The purpose of multiple regression (a term used by Pearson, 1908) is to highlight the relation between a dependent variable (explained, endogenous or resultant variables) and a lot of independent variables (explanatory, factor, exogenous, predictor ones).
Another issue with the dependent variable in (1) and (2) is whether to use 'physical volume' GRP or GRP deflated by the countrywide price index.

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