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.

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

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.

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.
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
References in periodicals archive ?
Basically, missing data is problematic if the independent variable X is related to the dependent variable Y, but the missing data X does not allow for the testing of the association or relationship.
A multiple regression analysis conducted with cigarette use as the dependent variable revealed that GPA, popularity at school, and CES-D scores accounted for a significant portion of the variance in adolescent cigarette smoking (Table 1).
Univariate and bivariate statistics were used to describe the sample and to provide descriptions of professionals' perceptions of their frustration, while multiple regression analysis was used to assess the relationship between the independent variables of participants' assessment of organizational factors in their work setting and the dependent variable of the assessment of their work frustration.
For example, a bivariate relationship between sale price as the dependent variable and square feet would be reasonable and conceivable, and should result in a maximum explanation of the residuals.
In fact, however, each, one of them is a dependent variable and is frequently part of a structure that could be described only by an extremely complex equation, were it possible to describe it mathematically.
External validity of results from single-subject research is enhanced through replication of the effects across different participants, different conditions, and/or different measures of the dependent variable.
Thus, the overall mean of the dependent variable may be the more desirable "average" as the comparison measure for the regression coefficients.
In sum, misinterpretation arguments regarding regression coefficients in semilogarithmic functions are themselves misplaced given the lack of a clear reference point for calculating changes in the dependent variable.
Therefore, cost of equity capital is estimated from a regression equation with actual return to equity capital as the dependent variable and independent variables reflecting the lines of business mix and other characteristics of the insurer.
In fact, some of the factors that were dependent variables in these studies, such as feeling safe and a positive perception of the school environment, probably should have been independent variables with achievement as a dependent variable based on a review of the literature on achievement (Beck & Murphy, 1996; McEvoy & Welker, 2000).
1991) that examined instructional ratios for drill tasks generally used the number of items learned and later recalled as the dependent variable.
Next, each branch is analyzed independently to determine which independent characteristic is most important in distinguishing between levels of the dependent variable for that branch.