# 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.

## 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.

## 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.

## 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.
References in periodicals archive ?
Values of pH and electrical conductivity and concentrations of aluminum (Al), calcium (Ca), nickel (Ni), iron (Fe) and zinc (Zn) metals and sulfate (SO4 2-), nitrate (NO3-) and chloride (Cl-) ions in the particulate matter were taken as dependent variables, while the values of pH and electrical conductivity and concentrations of metals and ions mentioned above in the inert matter/waste were taken as independent variables.
Using the same methodology described above, but replacing the dependent variable, net outlays, with net cost of operations, once again the most suitable independent variable is the POM (w/OCO) position.
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.
Brunnschweiler (2009) uses logarithm of growth rate as a dependent variable while her resource measure is not in growth terms.
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.
The dependent variables were university students enrolled to reflect the reasons for which students select a business school/institution for Business Education and the top four universities selected by these students to identify the significant factors as the main reasons student go to these top universities.
Why Lagged Dependent Variables Can Suppress the Explanatory Power of Other Independent Variables.
Similarly, the kinetic-order sensitivities, defined as the ratio of percentage change in a dependent variable or dependent flux to an infinitesimal percentage change in a kinetic order parameter, are written as:
3 provides a variety of measures assessing the success of the model in predicting the dependent variable.
Then, we read horizontally from the line of best fit to the y-axis to see the expected value for the dependent variable (follow the dotted line in Figure 1).
The dependent variable in the first three columns of Table 3 is a fatal or incapacitating injury.

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